Relevant bibliographies by topics / Error Correction Model (ECM)

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Error Correction Model (ECM)'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 June 2025

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Journal articles on the topic "Error Correction Model (ECM)"

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Saragih, Ansheila Yunian, and Lavlimattria Esya. "PENGARUH KINERJA MAKROEKONOMI TERHADAP DANA PIHAK KETIGA BANK SYARIAH INDONESIA." Media Ekonomi 24, no. 2 (2016): 151. http://dx.doi.org/10.25105/me.v24i2.3801.

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<p><em>This study Aimed to analyze the influence of GDP, SBIS and inflation on third-party funds (DPK), in the short term and long term in the period quarterely 2008: 1 until 2014: 4. The variables used are third party funds (DPK), Gross Domestic Product (GDP), inflation, and Bank Indonesia Certificates Sharia (SBIS). Mmethodology used is a method of Error Correction Model (ECM). Before the test of Error Correction Model (ECM), the models must pass the prerequisite test unit root, integration and Co integration. The results showed the models Prerequisites Error Correction Model (ECM) can be used and passed the prerequisite test. The results using methods Error Correction Model (ECM), it was found that the variable inflation does not significantly influence the Third Party Funds (TPF) in the long term. While in the short term inflation is a significant variable to the Third Party Fund (DPK).</em></p><p> </p>
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Lai, Baoying, and Nathan Lael Joseph. "Pricing-to-Market Using EGARCH-Error Correction Model." International Journal of Strategic Decision Sciences 3, no. 1 (2012): 1–59. http://dx.doi.org/10.4018/jsds.2012010101.

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In this paper, the authors use an exponential generalized autoregressive conditional heteroscedastic (EGARCH) error-correction model (ECM), that is, EGARCH-ECM, to estimate the pass-through effects of foreign exchange (FX) rates and producers’ prices for 20 U.K. export sectors. The long-run adjustment of export prices to FX rates and producers’ prices is within the range of -1.02% (for the Textiles sector) and -17.22% (for the Meat sector). The contemporaneous pricing-to-market (PTM) coefficient is within the range of -72.84% (for the Fuels sector) and -8.05% (for the Textiles sector). Short-run FX rate pass-through is not complete even after several months. Rolling EGARCH-ECMs show that the short and long-run effects of FX rate and producers’ prices fluctuate substantially as are asymmetry and volatility estimates before equilibrium is achieved.
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Anwar, A. I., Kurniaty, N. R. S. Wulandari, and R. Fitrianti. "Application of Error Correction Model (ECM) in stabilizing financial inclusion." IOP Conference Series: Earth and Environmental Science 473 (May 14, 2020): 012117. http://dx.doi.org/10.1088/1755-1315/473/1/012117.

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Santos, Angelo Gabrielle. "Forecasting residential electricity demand in the Philippines using an error correction model." Philippine Review of Economics 57, no. 1 (2021): 121–51. http://dx.doi.org/10.37907/6erp0202j.

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This study uses an Error Correction Model (ECM) to forecast residential electricity demand in the Philippines using household final consumption expenditure, residential electricity price, and temperature as explanatory variables. Results show that there is a long-run relationship between household final consumption expenditure and residential electricity demand. Estimates from the ECM are consistent with economic theory, and the model passed standard diagnostic and parameter stability tests. Forecast performance based on within-sample and out-of-sample forecasts of the ECM is also shown to be superior, relative to a benchmark Autoregressive Distributed Lag (ARDL) model. Simulations show that by 2040, residential electricity consumption will range from 42,500 gigawatthours (GWh) based on a weak income growth scenario and 62,000 GWh based on a combined changes scenario.
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Reddy, M. S., V. K. Jain, and G. K. Lal. "Tool Design for ECM: Correction Factor Method." Journal of Engineering for Industry 110, no. 2 (1988): 111–18. http://dx.doi.org/10.1115/1.3187858.

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A simple model for tool (cathode) design for plane parallel electrochemical machining and electrochemical drilling has been proposed. Assuming the initial tool shape to be complementary to required work shape, the desirable and predicted anode profiles have been compared and the error between them has been evaluated. Using this error, the correction factor has been calculated to modify the tool shape. This procedure is repeated till the designed tool can produce an anode profile within the prescribed tolerance limits. Using this technique, tools for tapered, flat, exponential, parabolic, and nonstandard work shapes have been designed. Bare tools have been designed for straight and tapered sided holes. Comparison between analytical and experimental results shows a good agreement between them.
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Afrizal, Afrizal. "Analisis Inflasi di Indonesia (Suatu Pendekatan Model Dinamik)." Jurnal Ekonomi Bisnis dan Kewirausahaan 7, no. 2 (2018): 85. http://dx.doi.org/10.26418/jebik.v7i2.24199.

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This study aims to determine the magnitude of the effect of the money supply, the exchange rate of rupiah (exchange rate) and the interest rate on inflation in Indonesia during the period 2000.12016.4. The analysis tools used for this research data are: unit root test, integration degree test, cointegration test, error correction model / ECM. The results showed that all staioner research data at level 1 (first difference) based on cointegration test showed that the variables observed in this study co-integration or have long-term relationship. The ECM model used is valid, as indicated by the error correction term (ECT) coefficient is significant. In the short run the money supply, the exchange rate of rupiah (exchange rate) and the interest rate is not significant to the inflation rate, but in the long term is significant.
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Mahmudah, Henny. "KONTRIBUSI PAJAK DAERAH DAN RETRIBUSI DAERAH TERHADAP PENDAPATAN ASLI DAERAH ( PAD ) GUNA MENDUKUNG PELAKSANAAN OTONOMI DAERAH." Jurnal Ekonomi Pembangunan 11, no. 1 (2013): 72. http://dx.doi.org/10.22219/jep.v11i1.3731.

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Following writing will try to work through how relationship among accepting region taxes and region retribution to PAD'S step-up by use of approaching Error Correction Model( ECM) by use of annual data begins year 1990 until years 2010. It utilizes error correction's approaching with consideration that this model feels equal to word relationship among variable one is analyzed well that in the short term and also on a long term.
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Fatmawati, Sri, and Algifari Algifari. "EFEK FISHER DI INDONESIA: PENDEKATAN CO-INTEGRATION DAN ERROR CORRECTION MODEL (ECM)." Jurnal Riset Manajemen dan Bisnis 9, no. 1 (2015): 51. http://dx.doi.org/10.21460/jrmb.2014.91.225.

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The aim of this research is to examine the existence of Fisher Effect for Indonesian Economy, by regressing interest rate on rate of inflation in period 1980-2011. With co-integration and error correction technique, the results indicate that an increases of one percent in inflation rate lead to increase in interest rate at 0,13 percent in short-run and at 0,95 percent in longrun. This research can’t confirm the existence of Fisher Effect in Indonesian Economy in short-run, but this effect exists in long-run. Keywords: Fisher Effect, Interest Rate, Inflation Rate, Co-integration, Error Correction Model
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Esarey, Justin. "Fractionally Integrated Data and the Autodistributed Lag Model: Results from a Simulation Study." Political Analysis 24, no. 1 (2016): 42–49. http://dx.doi.org/10.1093/pan/mpv032.

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Two contributions in this issue, Grant and Lebo and Keele, Linn, and Webb, recommend using an ARFIMA model to diagnose the presence of and estimate the degree of fractional integration, then either (i) fractionally differencing the data before analysis or, (ii) for cointegrated variables, estimating a fractional error correction model. But Keele, Linn, and Webb also present evidence that ARFIMA models yield misleading indicators of the presence and degree of fractional integration in a series with fewer than 1000 observations. In a simulation study, I find evidence that the simple autodistributed lag model (ADL) or equivalent error correction model (ECM) can, without first testing or correcting for fractional integration, provide a useful estimate of the immediate and long-run effects of weakly exogenous variables in fractionally integrated (but stationary) data.
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Ranto, Suryo Refli. "Pengaruh Jangka Pendek Dan Jangka Panjang Variabel Makro Ekonomi Terhadap Ihsg Di Bursa Efek Indonesia Dengan Pendekatan Error Correction Model (ECM)." Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika 6, no. 1 (2019): 12–24. http://dx.doi.org/10.31316/j.derivat.v6i1.332.

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Penelitian ini bertujuan untuk menguji secara empiris pengaruh jangka pendek dan jangka panjang dari Inflasi, Jumlah Uang Berjalan, Kurs, Tingkat Bunga Bank Indonesia, Harga Minyak Dunia (WTI) dan Net Ekspor terhadap Indeks Harga Saham Gabungan (IHSG) dengan metode Error Correction Model (ECM) yang diolah dengan eviews 6.0. Selama periode pengamatan yaitu tahun 2000-2012 terjadi hubungan antara variabel makro dengan pergerakan IHSG di Bursa Efek Indonesia (BEI). Hasil uji ECM memperlihatkan Inflasi, kurs dan harga minyak dunia berpengaruh signifakan terhadap IHSG pada jangka pendek sedangkan pada jangka panjang variabel yang signifikan mempengaruhi IHSG adalah IHK, kurs, net ekspor dan harga minyak dunia.Kata kunci : IHSG, IHK, JUB, Kurs, tingkat Bunga Bank Indonesia (rSBI), Harga Minyak Dunia (WTI), Net Ekspor dan Error Correction Model (ECM)
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Dissertations / Theses on the topic "Error Correction Model (ECM)"

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Gqozo, Pamela. "Impact of oil price on tourism in South Africa: an error correction model (ECM) analysis." Thesis, University of Fort Hare, 2013. http://hdl.handle.net/10353/d1017941.

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The study focuses on the impact of oil price on tourism in South Africa. Quarterly time series data for the period 1990 to 2012 was used in this study. Error correction model is the research instrument that was used to determine the impact of oil price on tourism in South Africa. The explanatory variables in this study are oil price, real exchange rates, gross domestic product, consumer price index and transport infrastructure investment. The results of the study revealed that oil price, consumer price index and real exchange rate have a negative long run relationship on tourism, while gross domestic product and transport infrastructure investment had a positive long run relationship on tourism. It was also shown that oil price is statistically significant relationship on tourism.
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Correia, José Alfredo Henriques. "A sustentabilidade financeira da segurança social em Portugal." Master's thesis, Instituto Superior de Economia e Gestão, 2004. http://hdl.handle.net/10400.5/2840.

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Mestrado em Economia Monetária e Financeira<br>Neste estudo analisa-se a sustentabilidade do sistema de Segurança Social em Portugal, investigando as determinantes da despesa de forma a propor políticas de gestão da mesma, susceptíveis de assegurar a sua sustentabilidade financeira. O estudo utiliza dados anuais de 1960 a 2002, estimando um modelo de correcção do erro que toma em consideração a cointegração de Johansen e de Engle-Granger, bem como testes de raízes unitárias. Enquadra-se este estudo no contexto institucional do sistema de Segurança Social em Portugal e na revisão da literatura feita sobre esta matéria.<br>This study analyses the sustainability of the social security system in Portugal, examining the origin of social security expense, so that we can offer policies that allow administrating social security expenses, permitting their financial sustainability. This study uses data from 1960 until 2002 and it develops an Error Correction Model (ECM) that takes into consideration the Johansen and the Engle-Granger cointegration as well as unit root tests. The present study fits in the institutional context of the Portuguese Social Security System and in the literature review made about this subject.
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Suppakittiwong, Tanyatorn, and Sornsita Aimprasittichai. "A Study of a Relationship Between The U.S. Stock Market and Emerging Stock Markets in Southeast Asia." Thesis, Linnéuniversitetet, Institutionen för nationalekonomi och statistik (NS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-46781.

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Resulting from the deregulation and prosperity of the economic and financial sectors in Asia during 1980s, a significant increase in cross-bordered financial transactions ultimately accelerated the region of Southeast Asia to be on a process of financial integration and consequently diminished opportunities for portfolio diversification. Financial Integration is a multidimensional process through which allocation of financial assets becomes lastly borderless. This purpose of this paper is to examine a progress thus far in capital market integration or preferentially, the co-movement of the equity markets between the U.S. and the Southeast Asian nations: Thailand, Indonesia, Malaysia, and the Philippines by employing the methodology of Gregory and Hansen Cointegration and Error Correction Analysis (ECM). The consequence of the U.S. market performance on each Southeast Asian national markets are extensively analyzed by decomposing monthly price-index time series into three distinct sub-periods based on an occurrence of the Subprime Mortgage Financial Crisis in 2007. The results indicate that these four emerging markets had been considerable influenced by the U.S. market performance, regardless of crisis or non-crisis periods. Nevertheless, some countries like Indonesia and the Philippines acted differently during the pre-crisis and crisis sub-periods respectively due to their domestic market infrastructure and regulation adjustment. However, these two markets had eventually turned to share an interdependent long-run relationship with the U.S. equity market since the ending of the Subprime financial downturn. Moreover, this finding suggests that ongoing capital market integration in the Southeast Asian region would mitigate portfolio diversification benefits for investors by virtue of increasing in correlation among securities and assets. Therefore, more exhaustive investigation about equity market integration is significantly beneficial in macroeconomic and financial perspective.
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Wang, Jing. "THREE ESSAYS ON PRICING AND VOLUME DISTRIBUTIONS OF CROSS-LISTED STOCKS." Cleveland State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1421369950.

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Bäckström, Fredrik, and Anders Ivarsson. "Meta-Model Guided Error Correction for UML Models." Thesis, Linköping University, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8746.

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<p>Modeling is a complex process which is quite hard to do in a structured and controlled way. Many companies provide a set of guidelines for model structure, naming conventions and other modeling rules. Using meta-models to describe these guidelines makes it possible to check whether an UML model follows the guidelines or not. Providing this error checking of UML models is only one step on the way to making modeling software an even more valuable and powerful tool.</p><p>Moreover, by providing correction suggestions and automatic correction of these errors, we try to give the modeler as much help as possible in creating correct UML models. Since the area of model correction based on meta-models has not been researched earlier, we have taken an explorative approach. </p><p>The aim of the project is to create an extension of the program MetaModelAgent, by Objektfabriken, which is a meta-modeling plug-in for IBM Rational Software Architect. The thesis shows that error correction of UML models based on meta-models is a possible way to provide automatic checking of modeling guidelines. The developed prototype is able to give correction suggestions and automatic correction for many types of errors that can occur in a model.</p><p>The results imply that meta-model guided error correction techniques should be further researched and developed to enhance the functionality of existing modeling software.</p>
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Kokkola, N. "A double-error correction computational model of learning." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/18838/.

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In this thesis, the Double Error model, a general computational model of real-time learning is presented. It builds upon previous real-time error-correction models and assumes that associative connections form not only between stimuli and reinforcers, but between all types of stimuli in a connectionist network. The stimulus representation uses temporally-distributed elements with memory traces, and a process of expectation-based attentional modulation for both reinforcers and non-reinforcing stimuli is introduced. A modified error-correction learning rule is proposed, which incorporates both an error-term for the predicted and predicting stimulus. The static asymptote of learning familiar from other models of learning is replaced by a similarity measure between the activities of said stimuli, resulting in more temporally correlated stimulus representations forming stronger associative links. Associative retrieval based on previously formed associative links result in the model predicting mediated learning and pre-exposure effects. As a general model of learning, it accounts for phenomena predicted by extant learning models. For instance, its usage of error-correction learning produces a natural account of cue-competition effects such as blocking and overshadowing. Its elemental framework, which incorporates overlapping sets of elements to represent stimuli, leads to it predicting non-linear discriminations including biconditional discriminations and negative patterning. The observation that adding a cue to an excitatory compound stimulus leads to a lower generalization decrement as compared to removing a cue from said compound also follows from this representational assumption. The model further makes a number of unique predictions. The apparent contradiction of mediated learning in backward blocking and mediated conditioning proceeding in opposite directions is predicted through the model’s dynamic asymptote. Latent inhibition is accounted for as occurring through both learning and selective attention. The selective attention of the model likewise produces emergent effects when instantiated in the real-time dynamics of the model, predicting that the relatively best predictor of an outcome can sustain the largest amount of attention when compared to poorer predictors of said outcome. The model is evaluated theoretically, through simulations of learning experiments, and mathematically to demonstrate its generality and formal validity. Further, a simplified version of the model is contrasted against other models on a simple artificial classification task, showcasing the power of the fully-connected nature of the model, as well as its second error term in enabling the model’s performance as a classifier. Finally, numerous avenues of future work have been explored. I have completed a proof-of-concept deep recurrent network extension of the model, instantiated with reference to machine learning theory, and applied the second error term of the model to modulating backpropagation in time of a vanilla RNN. Both the former and latter were applied to a natural language processing task.
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Molin, Simon. "House Price Dynamics in Sweden : Vector error-correction model." Thesis, Umeå universitet, Nationalekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172367.

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Movements in house prices can have effects on individuals, financial markets, and the whole economy. After the rapid increase in house prices worldwide since the mid-1990s and after the financial crisis in 2008, many studies have investigated house price dynamics. Furthermore, real house prices in Sweden have increased by more than 200 % since the mid-1990s up until today. This study takes a closer look at the fundamental determinants of house prices to investigate both the long- and short-run dynamics of Swedish house prices. The method of use includes a vector error-correction model, which exposes both long- and short-run dynamics of house prices. The long-run results show that Swedish house prices are currently not overvalued. Furthermore, in the short-run, the results suggest that house prices adjust to their equilibrium level with 7,9 % in each quarter.
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Coulibaly, Massita. "L'autosuffisance alimentaire et la politique rizicole en Côte d'Ivoire." Clermont-Ferrand 1, 1996. http://www.theses.fr/1996CLF10179.

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Cette étude a pour objet d’analyser le bien-fondé de la recherche de l’autosuffisance alimentaire entreprise en Côte d’Ivoire autour du développement de la filière riz, et d’examiner les capacités du pays à atteindre cet objectif après la dévaluation du FCFA. L’intérêt de ce travail pour le riz se justifie par la croissance de la part du riz dans la consommation des ivoiriens et le déficit constant de cette filière en dépit des sommes importantes engagées dans le développement de la production locale. Deux grands axes d’analyse sont évoqués. Le premier axe est l’analyse des causes de l’échec des politiques mises en place dans la filière avant la dévaluation. Cet échec s’est traduit par la croissance de la part des importations dans la consommation des ivoiriens. Par l’analyse des fondements des politiques alimentaires, nous vous proposons dans le premier chapitre d’examiner la cohérence des politiques mises en place dans le secteur. Cette analyse nous permet d’émettre l’hypothèse que la sécurité alimentaire, plus que l’autosuffisance a été le fondement des politiques alimentaires. Il y a donc eu une contradiction entre les objectifs d’autosuffisance affichés et les mesures de développement de la filière. Un examen de l’évolution du marché du riz par rapport aux différentes politiques, dans le chapitre 2, confirme bien cette contradiction et présente les réformes entreprises pour la production en vue de réaliser l’autosuffisance dans la filière. Le second axe porte sur l’efficacité des nouvelles mesures entreprises après la dévaluation. Dans cette optique, nous avons calculé les indicateurs de performance de la production de riz, à l’aide de la Matrice d’Analyse des Politiques, dans le chapitre 3. Ces indicateurs, calculés avant et après la dévaluation mettent en évidence le regain de compétitivité des unités de production locale. Cette analyse a aussi permis de souligner l’importance de l’approche par systèmes de culture et apporte des informations nécessaires à l’identification des modes de production à promouvoir. Nous avons également estimé la réponse des paysans aux différentes incitations contenues dans ces mesures dont la principale est le relèvement des prix aux producteurs. Cette analyse économétrique, a été menée à l’aide d’un modèle dynamique d’offre agricole intégrant un Mécanisme de Correction d’Erreurs. Elle révèle que l’offre du riz dépend positivement des prix relatifs des différentes cultures (riz, coton et maïs), elle dépend négativement du prix des facteurs de production (en l’occurrence la main d’œuvre) et du crédit agricole. La réaction des riziculteurs est donc en partie dictée par la rentabilité de la culture du riz et des conditions d’accès aux intrants agricoles. Ce résultat souligne de nouveau la nécessité de mettre en place un système de financement des activités agricoles après la dissolution de la BNDA<br>Our goal in this study is to analyze the economic foundations of the rice self sufficiency objective (which ranks high in the agenda of the government) and assess the attainability of such goal after the devaluation of the CFA franc. Two main themes are evoked here. The first one focusses on the array of policies implemented before the devaluation. The causes of poor results obtained (growth in the importations of rice), seem to stem from inconsistencies between declared objectives and policies implemented. Chapter one has shown that food security rather than self-sufficiency was guiding force of reforms. This result is confirmed when we analyze in the chapter 2, the evolution of the rice market. The analysis of rice market evolution shows the reforms undertaken as well. In the second part, we analyze the effectiveness and usefulness if policies implemented after devaluation. For that purpose, indicators of performance of rice production have been calculated using Policy Analysis Matrix (PMA). This indicators, computed for the pre-devaluation as well as post-devaluation period have shown some increasing competitiveness of the local production units. We finally estimate the supply response behavior of peasants using a dynamic supply model with an Error Correction Mechanism (ECM). This econometric analysis shows that supply of rice is positively correlated with relative price (of rice, cotton and maize), negatively with price of inputs (especially labor) and credit. The latter call for an adequate rural financing system after the bankrucy of BNDA
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Silber, Frank. "Makroökonometrische Anpassungsanalyse im Vector-Error-Correction-Model (VECM) : Untersuchungen an ausgewählten Arbeitsmärkten /." Frankfurt am Main: Lang, 2003. http://www.gbv.de/dms/zbw/362076561.pdf.

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Watkins, Yijing Zhang. "Image Compression and Channel Error Correction using Neurally-Inspired Network Models." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1529.

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Everyday an enormous amount of information is stored, processed and transmitted digitally around the world. Neurally-inspired compression models have been rapidly developed and researched as a solution to image processing tasks and channel error correction control. This dissertation presents a deep neural network (DNN) for gray high-resolution image compression and a fault-tolerant transmission system with channel error-correction capabilities. A feed-forward DNN implemented with the Levenberg-Marguardt learning algorithm is proposed and implemented for image compression. I demonstrate experimentally that the DNN not only provides better quality reconstructed images but also requires less computational capacity as compared to DCT Zonal coding, DCT Threshold coding, Set Partitioning in Hierarchical Trees (SPIHT) and Gaussian Pyramid. An artificial neural network (ANN) with improved channel error-correction rate is also proposed. The experimental results indicate that the implemented artificial neural network provides a superior error-correction ability by transmitting binary images over the noisy channel using Hamming and Repeat-Accumulate coding. Meanwhile, the network’s storage requirement is 64 times less than the Hamming coding and 62 times less than the Repeat-Accumulate coding. Thumbnail images contain higher frequencies and much less redundancy, which makes them more difficult to compress compared to high-resolution images. Bottleneck autoencoders have been actively researched as a solution to image compression tasks. However, I observed that thumbnail images compressed at a 2:1 ratio through bottleneck autoencoders often exhibit subjectively low visual quality. In this dissertation, I compared bottleneck autoencoders with two sparse coding approaches. Either 50\% of the pixels are randomly removed or every other pixel is removed, each achieving a 2:1 compression ratio. In the subsequent decompression step, a sparse inference algorithm is used to in-paint the missing the pixel values. Compared to bottleneck autoencoders, I observed that sparse coding with a random dropout mask yields decompressed images that are superior based on subjective human perception yet inferior according to pixel-wise metrics of reconstruction quality, such as PSNR and SSIM. With a regular checkerboard mask, decompressed images were superior as assessed by both subjective and pixel-wise measures. I hypothesized that alternative feature-based measures of reconstruction quality would better support my subjective observations. To test this hypothesis, I fed thumbnail images processed using either bottleneck autoencoder or sparse coding using either checkerboard or random masks into a Deep Convolutional Neural Network (DCNN) classifier. Consistent, with my subjective observations, I discovered that sparse coding with checkerboard and random masks support on average 2.7\% and 1.6\% higher classification accuracy and 18.06\% and 3.74\% lower feature perceptual loss compared to bottleneck autoencoders, implying that sparse coding preserves more feature-based information. The optic nerve transmits visual information to the brain as trains of discrete events, a low-power, low-bandwidth communication channel also exploited by silicon retina cameras. Extracting high-fidelity visual input from retinal event trains is thus a key challenge for both computational neuroscience and neuromorphic engineering. % Here, we investigate whether sparse coding can enable the reconstruction of high-fidelity images and video from retinal event trains. Our approach is analogous to compressive sensing, in which only a random subset of pixels are transmitted and the missing information is estimated via inference. We employed a variant of the Locally Competitive Algorithm to infer sparse representations from retinal event trains, using a dictionary of convolutional features optimized via stochastic gradient descent and trained in an unsupervised manner using a local Hebbian learning rule with momentum. Static images, drawn from the CIFAR10 dataset, were passed to the input layer of an anatomically realistic retinal model and encoded as arrays of output spike trains arising from separate layers of integrate-and-fire neurons representing ON and OFF retinal ganglion cells. The spikes from each model ganglion cell were summed over a 32 msec time window, yielding a noisy rate-coded image. Analogous to how the primary visual cortex is postulated to infer features from noisy spike trains in the optic nerve, we inferred a higher-fidelity sparse reconstruction from the noisy rate-coded image using a convolutional dictionary trained on the original CIFAR10 database. Using a similar approach, we analyzed the asynchronous event trains from a silicon retina camera produced by self-motion through a laboratory environment. By training a dictionary of convolutional spatiotemporal features for simultaneously reconstructing differences of video frames (recorded at 22HZ and 5.56Hz) as well as discrete events generated by the silicon retina (binned at 484Hz and 278Hz), we were able to estimate high frame rate video from a low-power, low-bandwidth silicon retina camera.
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Books on the topic "Error Correction Model (ECM)"

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Harnett, I. R. An error correction model of US consumption expenditure. Bank of England, 1988.

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Thirtle, C. Testing the induced innovation hypothesis : an error correction model. University of Reading, Dept. of Economics, 1995.

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Salmon, Mark H. Error correction models, co-integration and the internal model principle. University of Warwick Department of Economics, 1987.

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Salmon, Mark H. Error correction models, co-intergration and the internal model principle. University of Warwick, Dept. of Economics, 1988.

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Liu, Ying. Modelling mortgage rate changes with a smooth transition error-correction model. Bank of Canada, 2001.

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Santis, Roberto De. An error correction monetary model explaining the inflationary process in Turkey. Warwick University, Department of Economics, 1993.

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Makroökonometrische Anpassungsanalyse im Vector-Error-Correction-Model (VECM): Untersuchungen an ausgewählten Arbeitsmarkten. P. Lang, 2003.

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Cipollini, Andrea. Testing for government intertemporal solvency: A smooth transition error correction model approach. University of Bristol, Department of Economics, 1998.

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Huang, Guobo. Money demand in China in the reform period: An error correction model. City Polytechnic of Hong Kong, Department of Economics and Finance, 1993.

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Sarantis, Nicholas. Unobserved components in an error-correction model of consumption for Southern European countries. Kingston University, Faculty of Human Sciences, 1998.

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Book chapters on the topic "Error Correction Model (ECM)"

1

Vanegas, Manuel, and Jorge Ridderstaat. "Error correction model." In Encyclopedia of Tourism. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_360.

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Vanegas, Manuel, and Jorge Ridderstaat. "Error correction model, tourism." In Encyclopedia of Tourism. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-01669-6_360-1.

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Guang, Xuan, and Zhen Zhang. "Network Error Correction Model." In Linear Network Error Correction Coding. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1_2.

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Guang, Xuan, and Zhen Zhang. "Another Description of Linear Network Error Correction Model." In Linear Network Error Correction Coding. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0588-1_3.

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Ding, Yan Zong. "Error Correction in the Bounded Storage Model." In Theory of Cryptography. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30576-7_31.

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Gałecki, Maciej, and Magdalena Osińska. "Threshold Error Correction Model: A Methodological Overview." In Economic Miracles in the European Economies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05606-3_8.

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Min, Chung-ki. "Unit root, cointegration and error correction model." In Applied Econometrics. Routledge, 2019. http://dx.doi.org/10.4324/9780429024429-11.

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Sun, Yizhuo, Yangsen Zhang, and Yanhua Zhang. "Chinese Text Proofreading Model of Integration of Error Detection and Error Correction." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49508-8_35.

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Riis, J. "Forecasting Danish Timber Prices with an Error Correction Model." In Modern Time Series Analysis in Forest Products Markets. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4772-9_10.

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Thasnimol, C. M., and R. Rajathy. "Vector Error Correction Model for Distribution Dynamic State Estimation." In Control Applications in Modern Power System. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8815-0_2.

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Conference papers on the topic "Error Correction Model (ECM)"

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Li, Yifei, Mohammad Kazem Sadoughi, Zhixiong Li, and Chao Hu. "An Ensemble Bias-Correction Method With Adaptive Weights for Dynamic Modeling of Lithium-Ion Batteries." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68416.

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Accurate modeling of the electrical behavior of a lithiumion (Li-ion) battery can provide accurate dynamic characteristics of the battery during charging/discharging and relaxation phases, which is essential to accurate online estimation of the battery state of charge (SoC). This paper proposes an ensemble bias-correction (BC) method with adaptive weights to improve the accuracy of an equivalent circuit model (ECM) in dynamic modeling of Li-ion batteries. The contribution of this paper is twofold: (i) the development of a novel ensemble method based on BC learning to model the dynamic characteristics of Li-ion batteries; and (ii) the creation of an adaptive-weighting scheme to learn online the weights of offline member BC models for building an online ensemble BC model. Repeated pulsing tests with single and multiple C-rates were conducted on seven Li-ion battery cells to evaluate the effectiveness of the proposed ensemble BC method. The analysis results with the use of an ECM demonstrate that the proposed method can reduce, on average, the voltage modeling error of the ECM by at least 50%.
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Bedir, Serap, Dilek Özdemir, and Kerem Karabulut. "The Feldstein-Horioka Puzzle for Eurasian Economies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00916.

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The presence of a relation between saving and investment which has been debated in the empirical literature following the pioneering of Feldstein-Horioka (1980) is paramount to the determination of economic policies. Feldstein-Horioka (1980) stated that the relationship between saving and investment depends on the degree of international capital mobility. A high correlation between saving and investment is often taken as evidence of capital immobility. The purpose of this study is to empirically test the validity of the Feldstein-Horioka puzzle. The model developed within the context of the theoretical framework was estimated by means of panel ARDL (auto-regressive distributed lag bound test) approach which is a panel vector error correction method using the data for Eurasian economics for the period 1992-2011. The data is taken from World Development Indicators. The short-run analysis supports the Feldstein-Horioko hypothesis and captured from error correction model (ECM). The results of the bounds test suggest that there is a long run relationship between savings and investment. Therefore, the Feldstein–Horioko correlations are not a puzzle for our sample because of the low correlation and high capital mobility.
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Szajt, Marek, and Marcin Zawada. "Application of an error correction model in assessment and forecasting of energy consumption in the European Union." In 2008 5th International Conference on the European Electricity Market (EEM 2008). IEEE, 2008. http://dx.doi.org/10.1109/eem.2008.4579057.

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Lu, Siyuan, Youngdeok Hwang, Ildar Khabibrakhmanov, et al. "Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330558.

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Bedir, Serap, and Arzu Tural Dikmen. "Fiscal Deficit and Inflation: New Evidences from Turkey Using a Bounds Testing Approach." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00915.

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A well-established theory in macroeconomics is that governments running persistent deficits have sooner or later to finance those deficits with money creation, thus producing inflation. The fiscal view of inflation has been especially prominent in the developing country literature, which has long recognized that less efficient tax collection, political instability, and more limited access to external borrowing tend to lower the relative cost of seigniorage and increase dependence on the inflation tax. For this reason, the main factors which affecting inflation rate in developing countries are extremely important for policy makers as when the causes of inflation are correctly specified the appropriate policy change can be easily diagnosed and effectively implemented. The purpose of this study is to test the empirical relationship between inflation and the budget deficit for the Turkish economy by an autoregressive distributed lag model (ARDL) analysis for the period 1970–2010. The data is taken from Republic of Turkey Ministry of Development and World Bank’s Database. The empirical findings indicates that fiscal deficit is one of the important variables of the price level along with other variables like interest rates, exchange rate, per capita income, trade of GDP. The short-run analysis captured from error correction model (ECM). The results of the bounds test suggest that there is a long run relationship between fiscal deficit and inflation. These findings drive important inferences for implications of monetary and fiscal policies.
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Ogawa, Youichiro, and Kazuhide Yamamoto. "Japanese Particle Error Correction employing Classification Model." In 2019 International Conference on Asian Language Processing (IALP). IEEE, 2019. http://dx.doi.org/10.1109/ialp48816.2019.9037699.

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Wang, Chuan, Ruobing Li, and Hui Lin. "Deep Context Model for Grammatical Error Correction." In 7th ISCA Workshop on Speech and Language Technology in Education. ISCA, 2017. http://dx.doi.org/10.21437/slate.2017-29.

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Iliadis, Michael, Leonidas Spinoulas, Albert S. Berahas, Haohong Wang, and Aggelos K. Katsaggelos. "Multi-model robust error correction for face recognition." In 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. http://dx.doi.org/10.1109/icip.2016.7532956.

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Kolak, Okan, and Philip Resnik. "OCR error correction using a noisy channel model." In the second international conference. Association for Computational Linguistics, 2002. http://dx.doi.org/10.3115/1289189.1289208.

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Melvin, Lawrence S., Artak Isoyan, and Chander Sawh. "Exposure source error and model source error impact on optical proximity correction." In SPIE Advanced Lithography, edited by Andreas Erdmann and Jongwook Kye. SPIE, 2017. http://dx.doi.org/10.1117/12.2258055.

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Reports on the topic "Error Correction Model (ECM)"

1

Anderson, Richard G., Dennis Hoffman, and Robert H. Rasche. A Vector Error-Correction Forecasting Model of the U.S. Economy. Federal Reserve Bank of St. Louis, 1998. http://dx.doi.org/10.20955/wp.1998.008.

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Hoffman, Dennis, and Robert H. Rasche. STLS/US-VECM 6.1: A Vector Error-Correction Forecasting Model of the US Economy. Federal Reserve Bank of St. Louis, 1997. http://dx.doi.org/10.20955/wp.1997.008.

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