Relevant bibliographies by topics / Output uncertainty

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Output uncertainty'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Output uncertainty"

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Fountas, Stilianos, Menelaos Karanasos, and Jinki Kim. "Inflation Uncertainty, Output Growth Uncertainty and Macroeconomic Performance." Oxford Bulletin of Economics and Statistics 68, no. 3 (2006): 319–43. http://dx.doi.org/10.1111/j.1468-0084.2006.00164.x.

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Abubaker, Riyad. "The Asymmetric Effects and Spillovers of Inflation and Output Uncertainty Between the US and Euro Area." Journal of Global Economy 11, no. 1 (2015): 5–19. http://dx.doi.org/10.1956/jge.v11i1.381.

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AbstractThis paper uses GARCH in mean models to examine the potential transmission and asymmetry of output growth and inflation uncertainty across the United States and the Euro Area . I employ quarterly data on output growth and inflation from 1970Q1-2012Q4. The results in respect to negative and positive shocks show that US output growth and inflation display asymmetric uncertainty. The US uncertainty has asymmetric effects on mean questions. Within the Euro Area, while the coefficients detecting the asymmetric uncertainty are insignificant; a significant asymmetric affect can exist. Res
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Ghosal, Vivek. "Price uncertainty and output concentration." Review of Industrial Organization 10, no. 6 (1995): 749–67. http://dx.doi.org/10.1007/bf01024306.

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Garratt, Anthony, James Mitchell, and Shaun P. Vahey. "Measuring output gap nowcast uncertainty." International Journal of Forecasting 30, no. 2 (2014): 268–79. http://dx.doi.org/10.1016/j.ijforecast.2013.07.012.

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Yang, Wen, Jun Huang, Zhaofei Tian, and Guangliang Chen. "Uncertainty analysis and visualization for a coupled thermohydraulics-neutronics simulation by deterministic sampling." Journal of Physics: Conference Series 2313, no. 1 (2022): 012006. http://dx.doi.org/10.1088/1742-6596/2313/1/012006.

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Abstract Uncertainty quantification and sensitivity analysis by deterministic sampling is performed on a thermohydraulics-neutronics coupling simulation of a 5×5 rod bundle in pressurized water reactor. Thermohydraulics calculation is conducted by a CFD simulation and neutronics calculation is conducted by method of characteristic (MOC). The coupling simulation of CFD and MOC, together with large number of calculations needed by random sampling in uncertainty quantification, leads to high computational cost. Therefore, deterministic sampling is introduced in this study and proves its efficienc
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Liu, Na, and Futie Song. "Carbon price prediction under output uncertainty." Environmental Science and Pollution Research 29, no. 15 (2021): 21577–90. http://dx.doi.org/10.1007/s11356-021-17269-w.

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Gaiduch, Victor, and Ben Hunt. "Inflation Targeting Under Potential Output Uncertainty." IMF Working Papers 00, no. 158 (2000): 1. http://dx.doi.org/10.5089/9781451857573.001.

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Alghalith, Moawia. "Estimation with Price and Output Uncertainty." Journal of Applied Economics 8, no. 2 (2005): 247–57. http://dx.doi.org/10.1080/15140326.2005.12040627.

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Hennessy, David A. "Multi-output firm under price uncertainty." Journal of Economics and Business 58, no. 3 (2006): 181–201. http://dx.doi.org/10.1016/j.jeconbus.2005.12.001.

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Arshanapalli, Bala G., and Omprakash K. Gupta. "Optimal hedging under output price uncertainty." European Journal of Operational Research 95, no. 3 (1996): 522–36. http://dx.doi.org/10.1016/0377-2217(95)00306-1.

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Dissertations / Theses on the topic "Output uncertainty"

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Varela, Gonzalo. "Exchange rate expectations, uncertainty and output in the Southern Cone." Thesis, University of Sussex, 2011. http://sro.sussex.ac.uk/id/eprint/7345/.

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In this thesis we investigate the effects of real exchange rate (RER) uncertainty on output in the context of Southern Cone economies. The first chapter provides a framework to analyze the output effects of RER uncertainty when firms contract dollar-debt and no hedging instruments are available, by focusing on the channel uncertainty-output operating through the firms financial strategy. An increase in uncertainty increases the probability of bankruptcy, raising expected marginal bankruptcy costs, and reducing optimal output of a risk-neutral firm. We find the output response to uncertainty sh
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Triantafyllidis, Vasileios. "High-dimensional-output surrogate models for uncertainty and sensitivity analyses." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/114588/.

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Computational models that describe complex physical phenomena tend to be computationally expensive and time consuming. Partial differential equation (PDE) based models in particular produce spatio-temporal data sets in high dimensional output spaces. Repeated calls of computer models to perform tasks such as sensitivity analysis, uncertainty quantification and design optimization can become computationally infeasible as a result. While constructing an emulator is one solution to approximate the outcome of expensive computer models, it is not always capable of dealing with high-dimensional data
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PARNES, ILAN SAMPAIO. "UNCERTAINTY MEASURES AND THEIR IMPACTS ON FORECASTING THE BRAZILIAN OUTPUT GAP." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35932@1.

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A incerteza é um fator relevante na modelagem de variáveis macroeconômi-cas, especialmente em países emergentes. Neste estudo, tentamos entender se me-didas de incerteza oriundas do mercado brasileiro podem melhorar as projeções de PIB do país. Traçando uma curva IS da forma mais simples possível: relacionando o hiato do produto a suas primeiras defasagens e aos juros reais ex-ante, podemos adicionar medidas de incerteza e atestar se estas melhoram as projeções de hiato realizadas para o período imediatamente subsequente. Como medidas de incerte-za, utilizamos a dispersão de expectativas do bo
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Abeng, Magnus O. "Oil price uncertainty, sectoral stock returns and output growth in Nigeria." Thesis, University of Surrey, 2018. http://epubs.surrey.ac.uk/845835/.

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This thesis examines the influence of oil price uncertainty shocks on sector stock return uncertainties and real output and provides new insights on how oil price uncertainty impulses are transmitted to the Nigerian macroeconomy. Five industry sectors namely banking, oil and gas, insurance, food beverages and tobacco, and consumer goods are investigated. The major contributions of this thesis include the decomposition of the effect of oil price change into sector stocks, application of second moment analysis, utilisation of high frequency micro-data and adoption of more than one econometric me
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Chiang, Derek Mi-Hsiu. "Contingent claims analysis to irreversible, non-tradable output investment problems under uncertainty." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312138.

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Vidal, Codina Ferran. "A reduced-basis method for input-output uncertainty propagation in stochastic PDEs." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82417.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 123-132).<br>Recently there has been a growing interest in quantifying the effects of random inputs in the solution of partial differential equations that arise in a number of areas, including fluid mechanics, elasticity, and wave theory to describe phenomena such as turbulence, random vibrations, flow through porous media, and wave propagation through random media. Monte-Carlo based sampling methods, ge
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Alliwa, Maher. "Modelling inflation, output growth and their uncertainties." Thesis, Brunel University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707765.

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This thesis consists of three studies that cover topics in inflation and output growth, and their uncertainties in G7 and developing countries. We utilise the Consumer Price Index (CPI) and Industrial Price Index (IPI) as proxies for the inflation rate (price level) and the growth rate (output), respectively. Chapter 2 considers the case of three developing countries Turkey, Egypt and Syria. We analyse the inflation and growth using asymmetric PGARCH model. In accordance with this, we estimate all the models using two alternative distributions the normal and Student’s t. Moreover, dummy variab
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Dockendorf, Jörg. "Real rainbow options in commodity applications : valuing multi-factor output options under uncertainty." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/real-rainbow-options-in-commodity-applications-valuing-multifactor-output-options-under-uncertainty(ab6302c7-326c-42ac-a1bb-24e1fbf08942).html.

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This thesis focuses on the valuation of real options when there is flexibility given by the choice between two risky outputs. We develop models to value these rainbow options and to determine optimal operating and investment policies. These models are studied in the context of commodity applications because output flexibility is particularly relevant in volatile commodity markets. We provide insights into the behaviour and sensitivities of option values and operating policies and discuss implications for decision-making.In the early stages of real options theory, research centred on basic opti
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Akhtar, Rehman. "Risk-Based Input-Output Modeling and Uncertainty Analysis of Hurricane Impacts on Interdependent Regional Workforce Systems." Thesis, The George Washington University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3615694.

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<p> Hurricanes have the potential to damage critical infrastructure systems, disrupt workforce and commodity flows, and can cause adverse socioeconomic impacts on the affected regions. Workforce disruptions in the aftermath of a hurricane can degrade regional productivity because the majority of business operations are labor-dependent. Furthermore, the recovery process is further exacerbated by the inherent interdependencies among economic sectors, which give rise to direct and indirect economic losses in the affected regional economy. This dissertation research extends the economic input-outp
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Clausen, Jens R. "Paradigm Uncertainty in the Conduct of Monetary Policy : the Role of Monetary Aggregates and the Output Gap /." Aachen : Shaker, 2004. http://www.gbv.de/dms/zbw/389232394.pdf.

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Books on the topic "Output uncertainty"

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Gaiduch, Victor. Inflation targeting under potential output uncertainty. Reserve Bank of New Zealand, Economics Dept., 2000.

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Alghalith, M. Empirical analysis under additive/mukltiplicative output uncertainty. Dept. of Economics, St. Salvator's College, 2003.

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Ndou, Eliphas, and Thabo Mokoena. Inequality, Output-Inflation Trade-Off and Economic Policy Uncertainty. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19803-9.

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Smets, Frank. Output gap uncertainty: Does it matter for the Taylor rule? Bank for International Settlements, Monetary and Economic Dept., 1998.

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Alghalth, M. Estimation and econometric tests under simultaneous price and output uncertainty. Dept. of Economics, St. Salvator's College, 2003.

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Drew, Aaron. Efficient simple policy rules and the implications of potential output uncertainty. Reserve Bank of New Zealand, 1999.

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Yetman, James. Probing potential output: Monetary policy, credibility and optimal learning under uncertainty. Bank of Canada, 2000.

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Vitek, Francis. An empirical analysis of dynamic interrelationships among inflation, inflation uncertainty, relative price dispersion, and output growth. Bank of Canada, 2002.

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Krishnaswamy, Smita. Design, Analysis and Test of Logic Circuits Under Uncertainty. Springer Netherlands, 2013.

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Byrnes, Christopher I., Francesco Delli Priscoli, and Alberto Isidori. Output Regulation of Uncertain Nonlinear Systems. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-2020-6.

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Book chapters on the topic "Output uncertainty"

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Ncube, Mthuli, and Eliphas Ndou. "Inflation Uncertainty and Output." In Monetary Policy and the Economy in South Africa. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137334152_3.

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Pfeiffer, Friedhelm, and Winfried Pohlmeier. "Income, Uncertainty and the Probability of Self-Employment." In Output and Employment Fluctuations. Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-57989-9_4.

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Loucks, Daniel P. "Dealing with Uncertainty." In International Series in Operations Research & Management Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93986-1_12.

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Flaig, Gebhard. "Demand Uncertainty and Labour Input in a Bivariate ARCH-M Model." In Output and Employment Fluctuations. Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-57989-9_3.

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Zhou, Jing, Lantao Xing, and Changyun Wen. "Adaptive Output Feedback Control of Systems with Input and Output Quantization." In Adaptive Control of Dynamic Systems with Uncertainty and Quantization. CRC Press, 2021. http://dx.doi.org/10.1201/9781003176626-14.

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Roy, John R. "Regional Input-Output, Leontief-Strout and Uncertainty." In Advances in Spatial Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04786-6_14.

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Goodhart, C. A. E. "The Effects of Nominal Monetary Changes on Output, Employment and Inflation." In Money, Information and Uncertainty. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-20175-4_13.

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Clarich, Alberto, and Rosario Russo. "Analysis and Interpretation of Probabilistic Simulation Output." In Uncertainty Management for Robust Industrial Design in Aeronautics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77767-2_52.

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Castiglione, Juan, Rodrigo Astroza, Saeed Eftekhar Azam, and Daniel Linzell. "Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process." In Model Validation and Uncertainty Quantification, Volume 3. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47638-0_9.

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Mašić, Fatima, Zijad Džemić, and Mirza Šarić. "Effect of Measurement Uncertainty on PV Output Power Estimation." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71694-2_51.

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Conference papers on the topic "Output uncertainty"

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Gonzalez, Jaime, Johannes Milz, and Eunhye Song. "Nonparametric Input-Output Uncertainty Comparisons." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838813.

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Hu, Wei, Ning Mi, Hailiang Zhong, et al. "Optimal Power System Scheduling Considering Uncertainty-Induced Generation Unit Output Curtailment." In 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA). IEEE, 2024. http://dx.doi.org/10.1109/ccssta62096.2024.10691794.

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Yang, Tianyuan, Dongliang Xie, Huilin Zhang, Chuhao Wang, and Linjun Cai. "Risk Optimisation of Capacity and Energy Reserve Under New Energy Output Uncertainty." In 2024 International Conference on Artificial Intelligence and Power Systems (AIPS). IEEE, 2024. http://dx.doi.org/10.1109/aips64124.2024.00089.

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Yuji, Yan, He Jinghan, Sohrab Mirsaeidi, Li Meng, and Wang Jian. "Self-healing Reconfiguration Strategy for Distribution Networks Considering Distributed Generation Output Uncertainty." In 2024 6th International Conference on Power and Energy Technology (ICPET). IEEE, 2024. https://doi.org/10.1109/icpet62369.2024.10940938.

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Fadeeva, Ekaterina, Aleksandr Rubashevskii, Artem Shelmanov, et al. "Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.558.

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Li, Qingxin, Yaoze Xie, Minli Huang, et al. "A Strategic Bidding Framework for Renewable Energy Providers Considering Renewable Energy Output Uncertainty." In 2024 4th Power System and Green Energy Conference (PSGEC). IEEE, 2024. http://dx.doi.org/10.1109/psgec62376.2024.10721052.

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Cusano, Michele, Riccardo Trinchero, Igor S. Stievano, Stefano Grivet-Talocia, Paolo Manfredi, and Stefanie Schatt. "A Multi-Output Active Learning Method for the Uncertainty Quantification of PCB Lines." In 2025 IEEE 29th Workshop on Signal and Power Integrity (SPI). IEEE, 2025. https://doi.org/10.1109/spi64682.2025.11014393.

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Pan, Yan, Wei Zhao, Peng Xu, Fuqiang Li, Wenchao Zhang, and Xing Li. "Construction of new energy output model and load probability model considering meteorological uncertainty." In 2024 4th International Conference on New Energy and Power Engineering (ICNEPE). IEEE, 2024. https://doi.org/10.1109/icnepe64067.2024.10860357.

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Raygani, Saeid Veysi, Rahul Sharma, and Tapan K. Saha. "PV power output uncertainty in Australia." In 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. http://dx.doi.org/10.1109/pesgm.2015.7286078.

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Carlsson, Magnus, Hampus Gavel, and Johan Ölvander. "Evaluating Model Uncertainty Based on Probabilistic Analysis and Component Output Uncertainty Descriptions." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85236.

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To support early model validation, this paper describes a method utilizing information obtained from the common practice component level validation to assess uncertainties on model top level. Initiated in previous research, a generic output uncertainty description component, intended for power-port based simulation models of physical systems, has been implemented in Modelica. A set of model components has been extended with the generic output uncertainty description, and the concept of using component level output uncertainty to assess model top level uncertainty has been applied on a simulati
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Reports on the topic "Output uncertainty"

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Kellogg, Ryan. Output and Attribute-Based Carbon Regulation Under Uncertainty. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26172.

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Bilionis, Ilias, and Nicholas Zabaras. Multi-output Local Gaussian Process Regression: Applications to Uncertainty Quantification. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada554929.

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Julio-Román, Juan Manuel, and Javier Guillermo Gómez-Pineda. Output gap estimation, estimation uncertainty and its effect on policy rules. Banco de la República de Colombia, 1999. http://dx.doi.org/10.32468/be.125.

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Hund, Lauren, and Justin Brown. Statistically Rigorous Uncertainty Quantification for Physical Parameter Model Calibration with Functional Output. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1562417.

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Cesa-Bianchi, Ambrogio, M. Hashem Pesaran, and Alessandro Rebucci. Uncertainty and Economic Activity: A Global Perspective. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0011654.

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The 2007-2008 global financial crisis and the subsequent anemic recovery have rekindled academic interest in quantifying the impact of uncertainty on macroeconomic dynamics. This paper studies the interrelation between financial markets volatility and economic activity assuming that both variables are driven by the same set of unobserved common factors and that these factors affect volatility and economic activity with a time lag of at least a quarter. Under these assumptions, the paper analytically shows that volatility is forward looking and that the output equation of a typical VAR estimate
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Dutta, Soumya, Jonathan Lee Woodring, and James Paul Ahrens. Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1392895.

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Rahman, Asad, Lea Simpson, James Wilkinson, et al. Using evidence in practice when there is high uncertainty on what works. EdTech Hub, 2023. http://dx.doi.org/10.53832/edtechhub.0158.

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Renzhi, Nuobu, and John Beirne. Global Shocks and Monetary Policy Transmission in Emerging Markets. Asian Development Bank, 2024. http://dx.doi.org/10.22617/wps240272-2.

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This paper examines the impact of global shocks on monetary policy transmission in 24 emerging market economies. Using panel local projections over the period 2000 to 2022, the results show that tighter United States monetary policy, higher global financial market uncertainty, and worsening global climate change impair the transmission of monetary policy to inflation and output. Higher financial development in emerging market economies can partially offset the disruption, while more open capital accounts and trade can amplify the impact of global shocks.
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Panizza, Ugo, and Ana María Loboguerrero. Inflation and Labor Market Flexibility: The Squeaky Wheel Gets the Grease. Inter-American Development Bank, 2003. http://dx.doi.org/10.18235/0010817.

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Inflation can grease the wheels of the labor market by relaxing downward wage rigidity but it can also increase uncertainty and have a negative sand effect. This paper studies the grease effect of inflation by looking at whether the interaction between inflation and labor market regulations affects how employment responds to changes in output. The results show that in industrial countries with highly regulated labor markets, the grease effect of inflation dominates the sand effect. In the case of developing countries, we rarely find a significant effect of inflation on labor market regulations
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Torres, Marissa, Michael-Angelo Lam, Levi Cass, Matt Malej, and Fengyan Shi. Getting started with FUNWAVE-TVD : troubleshooting guidance and recommendations. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48631.

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This technical note reviews some common initialization errors when first getting started with the numerical wave model, FUNWAVE-TVD (Fully Nonlinear Wave model–Total Variation Diminishing), and provides guidance for correcting these errors. Recommendations for troubleshooting the source or cause of instabilities in an application of the model as well as recognizing the difference between physical and numerical instabilities are also outlined and discussed. In addition, a quick start troubleshooting guide is provided in the Appendix. This guidance is particularly useful for novice to intermedia
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