Gotowe bibliografie tematyczne / Stationarity

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Stationarity”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Stationarity"

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Yilmaz, A. G., I. Hossain, and B. J. C. Perera. "Effect of climate change and variability on extreme rainfall intensity–frequency–duration relationships: a case study of Melbourne." Hydrology and Earth System Sciences 18, no. 10 (2014): 4065–76. http://dx.doi.org/10.5194/hess-18-4065-2014.

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Abstract. The increased frequency and magnitude of extreme rainfall events due to anthropogenic climate change, and decadal and multi-decadal climate variability question the stationary climate assumption. The possible violation of stationarity in climate can cause erroneous estimation of design rainfalls derived from extreme rainfall frequency analysis. This may result in significant consequences for infrastructure and flood protection projects since design rainfalls are essential input for design of these projects. Therefore, there is a need to conduct frequency analysis of extreme rainfall
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Yilmaz, A. G., I. Hossain, and B. J. C. Perera. "Effect of climate change and variability on extreme rainfall intensity–frequency–duration relationships: a case study of Melbourne." Hydrology and Earth System Sciences Discussions 11, no. 6 (2014): 6311–42. http://dx.doi.org/10.5194/hessd-11-6311-2014.

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Abstract. The increased frequency and magnitude of extreme rainfall events due to anthropogenic climate change, and decadal and multi-decadal climate variability question the stationary climate assumption. The possible violation of stationarity in climate can cause erroneous estimation of design rainfalls derived from extreme rainfall frequency analysis. This may result in significant consequences for infrastructure and flood protection projects since design rainfalls are essential input for design of these projects. Therefore, there is a need to conduct frequency analysis of extreme rainfall
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Fan, Gai Ling, and Zhi Hua Huang. "Stationarity of the EEG Segment with Event-Related Potentials." Applied Mechanics and Materials 148-149 (December 2011): 30–33. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.30.

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EEG (electroencephalography), as a noninvasive and inexpensive method, is widely used to measure brain function and make inferences about regional brain activity. The stationarity of EEG has been investigated by many researchers, while the stationarity of EEG segment with ERPs (Event-related Potentials) has hardly been concerned about. It is necessary to analyze the stationarity of this kind of EEG. In this paper, we concentrate on the stationarity of the EEG with ERPs by testing the stationarity of 500ms EEG segments with ERPs recorded from six subjects in two types of experiments. The result
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Omotoye, Evelyn, and Bunmi Rotimi. "Stationarity in Prophet Model Forecast: Performance Evaluation Approach." American Journal of Theoretical and Applied Statistics 14, no. 3 (2025): 109–17. https://doi.org/10.11648/j.ajtas.20251403.12.

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Stationarity plays a crucial role in time series analysis, significantly influencing model performance and the reliability of forecasts. Despite its importance, many real-world datasets exhibit non-stationary behaviour, which can lead to misleading or spurious forecasting outcomes. This study explores the impact of stationarity on the performance of the Prophet Model, a scalable time series forecasting tool developed by Facebook, by comparing forecasts from both stationary and non-stationary versions of the same dataset. The monthly international airline passenger data was downloaded from the
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Shen, Yi, and Tony S. Wirjanto. "Stationarity as a path property." Probability and Mathematical Statistics 39, no. 2 (2019): 403–22. http://dx.doi.org/10.19195/0208-4147.39.2.9.

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Traditionally, stationarity refers to shift invariance of the distribution of a stochastic process. In this paper, we rediscover stationarity as a path property instead of a distributional property. More precisely, we characterize a set of paths, denoted by A, which corresponds to the notion of stationarity. On one hand, the set A is shown to be large enough, so that for any stationary process, almost all of its paths are in A. On the other hand, we prove that any path in A will behave in the optimal way under any stationarity test satisfying some mild conditions.
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Valera, Harold Glenn A., Mark J. Holmes, and Gazi M. Hassan. "Does inflation targeting matter for the behavior of inflation and output growth? Some regime-based evidence for Asian economies." Journal of Economic Studies 45, no. 5 (2018): 932–55. http://dx.doi.org/10.1108/jes-01-2017-0023.

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PurposeThe purpose of this paper is to consider whether or not the introduction of inflation targeting (IT) impacts on the mean-reversion properties of inflation and output growth.Design/methodology/approachFocusing on eight Asian countries of which four are inflation-targeters, the authors employ a two-state Markov-switching model which characterizes the behavior of inflation and output growth as regime-dependent based on periods of stationarity or non-stationarity.FindingsIn contrast to a literature that offers mixed findings, the authors find the presence of stationary inflation and output
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Česnik, Martin, Janko Slavič, Lorenzo Capponi, Massimiliano Palmieri, Filippo Cianetti, and Miha Boltežar. "The relevance of non-stationarities and non-Gaussianities in vibration fatigue." MATEC Web of Conferences 165 (2018): 10011. http://dx.doi.org/10.1051/matecconf/201816510011.

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In classical fatigue of materials, the frequency contents of dynamic loading are well below the natural frequencies of the observed structure or test specimen. However, when dealing with vibration fatigue the frequency contents of dynamic loading and structure's dynamic response overlap, resulting in amplified stress loads of the structure. For such cases, frequency counting methods are especially convenient. Gaussianity and stationarity assumptions are applied in frequency-domain methods for obtaining dynamic structure's response and frequency-domain methods for calculating damage accumulatio
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Lu, Zhiping, Ming Li, and Wei Zhao. "Stationarity Testing of Accumulated Ethernet Traffic." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/217213.

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We investigate the stationarity property of the accumulated Ethernet traffic series. We applied several widely used stationarity and unit root tests, such as Dickey-Fuller test and its augmented version, Phillips-Perron test, as well as the Kwiatkowski-Phillips-Schmidt-Shin test and some of its generalizations, to the assessment of the stationarity of the traffic traces at the different time scales. The quantitative results in this research provide evidence that when the time scale increases, the accumulated traffic series are more stationary.
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Tan, Yi, Jesper Ødum Nielsen, and Gert Frølund Pedersen. "Spatial Stationarity of Ultrawideband and Millimeter Wave Radio Channels." International Journal of Antennas and Propagation 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/3212864.

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For radio channels with broad bandwidth resource, such as those often used for ultrawideband (UWB) and millimeter wave (mmwave) systems, the Wide-Sense Stationary Uncorrelated Scattering (WSSUS) and spatial stationary assumptions are more critical than typical cellular channels with very limited bandwidth resource. This paper studies spatial stationarity and bandwidth dependency of the Multipath Component (MPC) parameters, and the concept of local region of stationarity (LRS) is used as the measure of the physical stationarity region. LRS calculation results based on channel measurements show
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Arrieta-Pastrana, Alfonso, Manuel Saba, and Adriana Puello Alcázar. "Analysis of Climate Variability in a Time Series of Precipitation and Temperature Data: A Case Study in Cartagena de Indias, Colombia." Water 14, no. 9 (2022): 1378. http://dx.doi.org/10.3390/w14091378.

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Anthropogenic climate change is a global trend, hitherto incontrovertible, causing immense social and economic damage. Although the this is evident at the global level, at the local level, there is still debate about the most appropriate analyses to support this fact. This debate is particularly relevant in developing countries, such as Colombia, where there is a significant lack of data at the local level that require analysis and interpretation. Consequently, studies are often superficially conducted to support climate change theory at the local level. However, such studies are then used to
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Rozprawy doktorskie na temat "Stationarity"

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Aldayel, Omar. "Evaluation of MIMO Non- Stationarity." Thesis, KTH, Signalbehandling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53761.

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The transmission performance of MIMO systems can be highly improved under stationary channel conditions where the channel statistics are constant. Unfortunately, mobile radio channels are not stationary all the time. Instead, they are stationary for finite time durations, so-called the stationarity regions. If these stationarity regions are relatively large, then the channel statistics can be utilized during each stationarity region to enhance the transmission performance. Therefore, it is necessary to examine the stationarity of mobile channels and characterize the stationarity regions. This
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André, Gustaf. "Testing a MIMO Channel for Stationarity." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239374.

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There is an increasing demand for better communication networks, e.g. better data rates and an improved bandwidth. As a response there is a lot of research being invested towards MIMO systems as a possible solution.In this paper data from a MIMO system with a fixed transmitter (8 antennas) and a mobile receiver (4 antennas) was investigated. The goal was to estimate the duration, during which, the MIMO system could be considered stationary. This was done by first estimating a correlation matrix for every time sample and then using the Correlation Matrix Distance function to measure how similar
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Rao, Yao. "Essays in panel stationarity and cointegration tests." Thesis, University of Liverpool, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437525.

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Pol, Marjon van der. "Intertemporal preferences for health : a comparison of the discounted utility model and hyperbolic models and of intertemporal preferences across health outcome." Thesis, University of Aberdeen, 2000. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU602020.

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It is standard practice to assume the discounted utility (DU) model on the part of the economic agents. This thesis tests the key axiom of the DU model (stationarity) in the health domain. Intertemporal preferences for health are of interest because of the debate over the appropriate treatment of future health effects in economic evaluation and of the relationship between intertemporal preferences and health-affecting behaviour. Social intertemporal preferences for fatal changes in health and private and social intertemporal preferences for non-fatal changes were elicited from members of the g
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Leisch, Friedrich, Adrian Trapletti, and Kurt Hornik. "On the stationarity of autoregressive neural network models." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/1612/1/document.pdf.

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We analyze the asymptotic behavior of autoregressive neural network (AR-NN) processes using techniques from Markov chains and non-linear time series analysis. It is shown that standard AR-NNs without shortcut connections are asymptotically stationary. If linear shortcut connections are allowed, only the shortcut weights determine whether the overall system is stationary, hence standard conditions for linear AR processes can be used.<br>Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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Toalá, Enríquez Rosemberg. "Stationarity of asymptotically flat non-radiating electrovacuum spacetimes." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/89265/.

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It is proven that a solution to the Einstein-Maxwell equations whose gravitational and electromagnetic radiation fields vanish at infinity is in fact stationary in a neighbourhood of spatial infinity. That is, if in adapted coordinates the Weyl and Faraday tensors decay suitably fast and there is an asymptotically-to-all-orders Killing vector field, then this is indeed a Killing vector field in the region outside the bifurcate horizon of a sphere of sufficiently large radius. In particular, electrovacuum time-periodic spacetimes, which are truly dynamical, do not exist. This can be interpreted
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Boyer, Alexandre. "Bidimensional stationarity of random models in the plane." Thesis, université Paris-Saclay, 2022. http://www.theses.fr/2022UPASM011.

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Dans le cadre de cette thèse,trois modèles ont été étudiés indépendamment. Ils ont en commun d’être des modèles aléatoires définis dans le plan et possédant une propriété de stationnarité bidimensionnelle. Le premier est le modèle de Hammersley stationnaire dans le quart de plan, introduit et étudié par Cator et Groeneboom.Nous présentons ici une preuve probabiliste des fluctuations gaussiennes dans le cas non critique. Le deuxième modèle peut être vu comme une version stationnaire du problème d’O’Connell-Yor. La preuve de sa stationnarité est obtenue en introduisant une discrétisation de ce m
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Collings, Jared M. "Clustering Methods for Delineating Regions of Spatial Stationarity." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2175.pdf.

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Chang, Kuo-Hwa. "Extreme queues and stationarity of heavy-traffic service systems." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/25441.

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Addona, Vittorio. "Stationarity in a prevalent cohort study with follow-up." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100309.

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In a prevalent cohort study with follow-up, the incidence process is not directly observed since only the onset times of prevalent cases can be ascertained. Several important consequences follow if one can establish stationarity of the incidence process: (1) The useful epidemiological relationship between prevalence, incidence, and mean duration holds, (2) There is improved efficiency when estimating the underlying survivor function from a prevalent cohort study with follow-up, (3) The constancy of the incidence rate is established, and (4) The constant incidence rate can be estimated using da
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Książki na temat "Stationarity"

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Thorisson, Hermann. Coupling, Stationarity, and Regeneration. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1236-2.

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Campa, Jose. Goods arbitrage and real exchange rate stationarity. Oesterreichische Nationalbank, 1998.

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Hathaway, Neville. The non-stationarity of share price volatility. University of Melbourne, 1985.

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Kenny, Patrick. Non-stationarity and persistence in real exchange rates. Department of Political Economy, UCD, 1990.

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Levy, Adam B. Stationarity and Convergence in Reduce-or-Retreat Minimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4642-2.

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service), SpringerLink (Online, ed. Stationarity and Convergence in Reduce-or-Retreat Minimization. Springer New York, 2012.

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Nåsell, Ingemar. Extinction and Quasi-Stationarity in the Stochastic Logistic SIS Model. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20530-9.

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Dahmen, E. R. Screening of hydrological data: Tests for stationarity and relative consistency. International Institute for Land Reclamation and Improvement, 1990.

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Schlitzer, Guiseppe. Testing stationarity of economic time series: Further Monte Carlo evidence. Banca d'Italia, 1994.

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Heveling, Matthias. Bijective point maps, point-stationarity and characterization of Palm measures. Univ.-Verl. Karlsruhe, 2006.

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Części książek na temat "Stationarity"

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Doukhan, Paul. "Stationarity." In Stochastic Models for Time Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76938-7_4.

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Shekhar, Shashi, and Hui Xiong. "Stationarity." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1350.

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Fouedjio, Francky. "Stationarity." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_428.

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Tsolacos, Sotiris, and Mark Andrew. "Stationarity." In Applied Quantitative Analysis for Real Estate. Routledge, 2020. http://dx.doi.org/10.1201/9780203710876-8.

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Fouedjio, Francky. "Stationarity." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-26050-7_428-1.

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Baccelli, François, and Pierre Brémaud. "Stationarity and Coupling." In Elements of Queueing Theory. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-11657-9_2.

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Capasso, Vincenzo, and David Bakstein. "Stability, Stationarity, Ergodicity." In An Introduction to Continuous-Time Stochastic Processes. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2757-9_5.

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Azencott, Robert, and Didier Dacunha-Castelle. "Forecasting and Stationarity." In Series of Irregular Observations. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4912-2_5.

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Mauro, Raffaele. "Traffic Flow Stationarity." In Traffic and Random Processes. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09324-6_4.

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Levendis, John D. "Stationarity and Invertibility." In Springer Texts in Business and Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98282-3_4.

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Streszczenia konferencji na temat "Stationarity"

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Morujão, Nuno, Carlos M. Correia, and Paulo J. V. Garcia. "Detecting stationarity duration in the atmosphere." In Adaptive Optics Systems IX, edited by Dirk Schmidt, Elise Vernet, and Kathryn J. Jackson. SPIE, 2024. http://dx.doi.org/10.1117/12.3020316.

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Liu, Weirong, Shun Zhou, Dan Fei, et al. "Quasi-Stationarity Regions Analysis for Maritime Mobile Communication Channel." In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI). IEEE, 2024. http://dx.doi.org/10.1109/ap-s/inc-usnc-ursi52054.2024.10686286.

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Afroze, Zeenat, and David W. Matolak. "V2I Channel Stationarity Distance in the 5 GHz Band." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757885.

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Biehl, Michael, Barbara Hammer, Frank-Michael Schleif, Petra Schneider, and Thomas Villmann. "Stationarity of Matrix Relevance LVQ." In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280441.

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Houdre, Christian. "Non stationarity: A new approach." In 26th IEEE Conference on Decision and Control. IEEE, 1987. http://dx.doi.org/10.1109/cdc.1987.272594.

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Borgman, Leon E. "Directional Wave Polyspectra Beyond Stationarity." In Offshore Technology Conference. Offshore Technology Conference, 1998. http://dx.doi.org/10.4043/8659-ms.

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Kukal, Jaromir, Iva Nachtigalova, Zuzana Krbcová, Jan Švihlík, and Karel Fliegel. "Stationarity testing in 2D image analysis." In Applications of Digital Image Processing XLII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2529346.

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Umansky, Dmitry, and Matthias Patzold. "Stationarity Test for Wireless Communication Channels." In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. IEEE, 2009. http://dx.doi.org/10.1109/glocom.2009.5425841.

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Muller, Klaus-Robert. "Multimodal imaging, non-stationarity and BCI." In 2014 International Winter Workshop on Brain-Computer Interface (BCI). IEEE, 2014. http://dx.doi.org/10.1109/iww-bci.2014.6782555.

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Galleani, Lorenzo, Leon Cohen, and Bruce Suter. "Local stationarity and time-frequency distributions." In SPIE Optics + Photonics, edited by Franklin T. Luk. SPIE, 2006. http://dx.doi.org/10.1117/12.684027.

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Raporty organizacyjne na temat "Stationarity"

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Asmussen, Soeren, Peter W. Glynn, and Hermann Thorisson. Stationarity Detection in the Initial Transient Problem. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada251516.

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Hall, Stephen. Time-Series Methods: Dynamic Modeling, Non-Stationarity, and Cointegration. Instats Inc., 2023. http://dx.doi.org/10.61700/vksf9usteps6f469.

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This seminar provides a hands-on exploration of time-series methods useful for econometrics as well as social and health science research. Any modelling exercise involving time series data depends crucially on the correct treatment of any non-stationarity which may be present in the data. The seminar explores the developments in dynamic modelling and non-stationarity which have taken place over the last 50 years in Econometrics, including in-depth coverage types of non-stationarity and tests for them, including cointegrated relationships (shared trends) among multiple variables. A free version
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Hall, Stephen. Time-Series Methods: Dynamic Modeling, Non-Stationarity, and Cointegration. Instats Inc., 2022. http://dx.doi.org/10.61700/nyrm5o8t47qqa469.

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This seminar provides a hands-on exploration of time-series methods useful for econometrics as well as social and health science research. Any modelling exercise involving time series data depends crucially on the correct treatment of any non-stationarity which may be present in the data. The seminar explores the developments in dynamic modelling and non-stationarity which have taken place over the last 50 years in Econometrics, including in-depth coverage types of non-stationarity and tests for them, including cointegrated relationships (shared trends) among multiple variables. A free version
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Lewis, Robert Michael, Virginia Joanne Torczon, and Tamara Gibson Kolda. Stationarity results for generating set search for linearly constrained optimization. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/918255.

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Nikoukhah, Ramine, Bernard C. Levy, and Alan S. Willsky. Stability, Stochastic Stationarity and Generalized Lyapunov Equations for Two-Point Boundary-Value Descriptor Systems,. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada195645.

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Lee, Chihoon. Constrained Stochastic Differential Equations Driven by Fractional Brownian Motions: Stationarity and Parameter Estimation Problems. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada591767.

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Weil, Jeffrey C., Edward G. Patton, and Peter P. Sullivan. Collaborative Research: Effects of Stability, Canopies, and Non-Stationarity on Dispersion in the Stable Boundary Layer. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada609408.

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Crump, Richard K., Stefano Eusepi, and Emanuel Moench. Is There Hope for the Expectations Hypothesis? Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1098.

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Most macroeconomic models impose a tight link between expected future short rates and the term structure of interest rates via the expectations hypothesis (EH). While the EH has been systematically rejected in the data, existing work evaluating the EH generally assumes either full-information rational expectations or stationarity of beliefs, or both. As such, these analyses are ill-equipped to refute the EH when these assumptions fail to hold, fueling hopes for a “resurrection” of the EH. We introduce a model of expectations formation which features time-varying means and accommodates deviatio
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Sandford, Robert, Kaveh Madani, Emily Lorra Hines, et al. The Future of Freshwater in Canada. Massey College and the United Nations University Institute for Water, 2023. https://doi.org/10.53328/inr23rs01.

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In September of 2023, the Forum for Leadership on Water and Massey College at the University of Toronto partnered to offer a symposium that aimed to bring the water community in Canada together to break down barriers, generate ideas and agree on solutions to a growing water and water-related climate crisis in Canada. The purpose of the symposium was to engage and inspire meaningful conversation and debate across disciplines, affiliations and governments with respect to policy, legislation, finance and actions needed to ensure the sustainability of Canada’s great freshwater resource. This repor
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Fowlie, Meredith, Christopher Knittel, and Catherine Wolfram. Sacred Cars? Optimal Regulation of Stationary and Non-stationary Pollution Sources. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14504.

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