Littérature scientifique sur le sujet « Expectational Model »
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Articles de revues sur le sujet "Expectational Model"
Heinemann, Maik. « CONVERGENCE OF ADAPTIVE LEARNING AND EXPECTATIONAL STABILITY : THE CASE OF MULTIPLE RATIONAL-EXPECTATIONS EQUILIBRIA ». Macroeconomic Dynamics 4, no 3 (septembre 2000) : 263–88. http://dx.doi.org/10.1017/s1365100500016011.
Texte intégralKoustas, Zisimos. « Some model-based tests of expectational rationality ». Atlantic Economic Journal 17, no 2 (juin 1989) : 53–64. http://dx.doi.org/10.1007/bf02304821.
Texte intégralSunder, Shyam. « Management Control, Expectations, Common Knowledge, and Culture ». Journal of Management Accounting Research 14, no 1 (1 janvier 2002) : 173–87. http://dx.doi.org/10.2308/jmar.2002.14.1.173.
Texte intégralVan Zandt, Timothy, et Martin Lettau. « ROBUSTNESS OF ADAPTIVE EXPECTATIONS AS AN EQUILIBRIUM SELECTION DEVICE ». Macroeconomic Dynamics 7, no 1 (7 janvier 2003) : 89–118. http://dx.doi.org/10.1017/s1365100502010313.
Texte intégralCho, In-Koo, et Kenneth Kasa. « Gresham's Law of Model Averaging ». American Economic Review 107, no 11 (1 novembre 2017) : 3589–616. http://dx.doi.org/10.1257/aer.20160665.
Texte intégralXu, Xiaoli, et Yibei Ling. « A study on the expectational model for tumor growth ». International Journal of Bio-Medical Computing 22, no 2 (mars 1988) : 135–41. http://dx.doi.org/10.1016/0020-7101(88)90049-9.
Texte intégralKurozumi, Takushi, et Willem Van Zandweghe. « TREND INFLATION AND EQUILIBRIUM STABILITY : FIRM-SPECIFIC VERSUS HOMOGENEOUS LABOR ». Macroeconomic Dynamics 21, no 4 (8 août 2016) : 947–81. http://dx.doi.org/10.1017/s1365100515000784.
Texte intégralEvans, George W., et Seppo Honkapohja. « Expectational stability of stationary sunspot equilibria in a forward-looking linear model ». Journal of Economic Dynamics and Control 28, no 1 (octobre 2003) : 171–81. http://dx.doi.org/10.1016/s0165-1889(02)00137-9.
Texte intégralPfajfar, Damjan, et Emiliano Santoro. « CREDIT MARKET DISTORTIONS, ASSET PRICES AND MONETARY POLICY ». Macroeconomic Dynamics 18, no 3 (28 septembre 2012) : 631–50. http://dx.doi.org/10.1017/s1365100512000557.
Texte intégralArifovic, Jasmina, et James Bullard. « INTRODUCTION TO THE SPECIAL ISSUE : NEW APPROACHES TO LEARNING IN MACROECONOMIC MODELS ». Macroeconomic Dynamics 5, no 02 (avril 2001) : 143–47. http://dx.doi.org/10.1017/s1365100501019010.
Texte intégralThèses sur le sujet "Expectational Model"
Galbraith, J. W. « Modelling the formation of expectations ». Thesis, University of Oxford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381848.
Texte intégralKræmer, John Ph D. Massachusetts Institute of Technology. « An expectation model of referring expressions ». Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62046.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (p. 297-205).
This thesis introduces EMRE, an expectation-based model of referring expressions. EMRE is proposed as a model of non-syntactic dependencies - in particular, discourse-level semantic dependencies that bridge sentence gaps. These include but are not limited to anaphora (references to noun phrases in previous sentences) and coherence predicates such as causality, temporal ordering and resemblance -- two domains that have typically been treated as entirely distinct aspects of language. EMRE is a computational-level model, and is agnostic about any particular algorithms, cognitive faculties, or neurological substrates that might be applied to the problem of semantic reference. Instead, it describes reference as a computational problem framed in terms of expectation and inference, and describes a solution to the problem based on rational top-down expectations about the likely targets of referring expressions, and on bottom-up feature-based matching that occurs when a referring expression is encountered. EMRE is used to derive novel empirical predictions about how people will construe particular discourse constructions involving NP anaphora and coherence predicates. These predictions are tested in controlled behavioral experiments, in which participants read and answer questions about short texts. The results of these experiments are shown to be consistent with a model of reference as an expectation-based computational structure with different underlying rules than those governing syntactic processing.
by John Kræmer.
Ph.D.
Morman, Karen. « Teacher Expectations of a Literacy Coaching Model ». ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2415.
Texte intégralZumpe, Martin Kai. « Stabilité macroéconomique, apprentissage et politique monétaire : une approche comparative : modélisation DSGE versus modélisation multi-agents ». Thesis, Bordeaux 4, 2012. http://www.theses.fr/2012BOR40022/document.
Texte intégralThis thesis analyses the role of learning in two different modelling frameworks. In the new canonicalmodel with adaptive learning, the most remarkable characteristics of the learning dynamics deal withthe capacity of monetary policy rules to guaranty convergence to the rational expectations equilibrium.The transmission mechanism of the monetary policy is based on the substitution effect associated to theconsumption channel. In the case of an agent-based model which relaxes some restrictive assumptionsof the new canonical model - but is endowed with a similar structure - aggregate variables evolve atsome distance from the rational expectations equilibrium. Monetary policy has a marginal impact onthe agregated variables via the wealth effect of the consumption channel. When agents learn accordingto an evolutionnary social learning process, the economy converges to regions of low economic activity.The introduction of a process where agents learn individually by using their mental models induces lessdepressive learning dynamics. These differences between the two modelling frameworks show that thegeneralisation of the results of the new canonical model is not easy to achieve
Creel, James Silas. « Intention is commitment with expectation ». Texas A&M University, 2005. http://hdl.handle.net/1969.1/2313.
Texte intégralQi, Yuan 1974. « Extending expectation propagation for graphical models ». Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/30215.
Texte intégralIncludes bibliographical references (p. 101-106).
Graphical models have been widely used in many applications, ranging from human behavior recognition to wireless signal detection. However, efficient inference and learning techniques for graphical models are needed to handle complex models, such as hybrid Bayesian networks. This thesis proposes extensions of expectation propagation, a powerful generalization of loopy belief propagation, to develop efficient Bayesian inference and learning algorithms for graphical models. The first two chapters of the thesis present inference algorithms for generative graphical models, and the next two propose learning algorithms for conditional graphical models. First, the thesis proposes a window-based EP smoothing algorithm for online estimation on hybrid dynamic Bayesian networks. For an application in wireless communications, window-based EP smoothing achieves estimation accuracy comparable to sequential Monte Carlo methods, but with less than one-tenth computational cost. Second, it develops a new method that combines tree-structured EP approximations with the junction tree for inference on loopy graphs. This new method saves computation and memory by propagating messages only locally to a subgraph when processing each edge in the entire graph. Using this local propagation scheme, this method is not only more accurate, but also faster than loopy belief propagation and structured variational methods. Third, it proposes predictive automatic relevance determination (ARD) to enhance classification accuracy in the presence of irrelevant features. ARD is a Bayesian technique for feature selection.
(cont.) The thesis discusses the overfitting problem associated with ARD, and proposes a method that optimizes the estimated predictive performance, instead of maximizing the model evidence. For a gene expression classification problem, predictive ARD outperforms previous methods, including traditional ARD as well as support vector machines combined with feature selection techniques. Finally, it presents Bayesian conditional random fields (BCRFs) for classifying interdependent and structured data, such as sequences, images or webs. BCRFs estimate the posterior distribution of model parameters and average prediction over this posterior to avoid overfitting. For the problems of frequently-asked-question labeling and of ink recognition, BCRFs achieve superior prediction accuracy over conditional random fields trained with maximum likelihood and maximum a posteriori criteria.
by Yuan Qi.
Ph.D.
Pollio, G. « Empirical tests of the rational expectations hypothesis ». Thesis, City University London, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.351632.
Texte intégralZhang, Xiaohua 1964. « Price expectations in perennial crop supply models ». Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/291531.
Texte intégralDavis, J. G. « A rational expectations model of the Federal Republic of Germany ». Thesis, University of Liverpool, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377979.
Texte intégralElhouar, Mikael. « Essays on interest rate theory ». Doctoral thesis, Handelshögskolan i Stockholm, Finansiell Ekonomi (FI), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-451.
Texte intégralLivres sur le sujet "Expectational Model"
Dolado, Juan José. An expectational model of labour demand in Spanish industry. Madrid : Banco de España, Servicio de Estudios, 1985.
Trouver le texte intégralBranch, William A. Expectational stability in regime-switching rational expectations models. Kansas City [Mo.] : Research Division, Federal Reserve Bank of Kansas City, 2007.
Trouver le texte intégralKollintzas, Tryphon, dir. The Rational Expectations Equilibrium Inventory Model. New York, NY : Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6374-3.
Texte intégralWestaway, Peter. Consistent expectations in the Treasury model. London : Treasury, 1986.
Trouver le texte intégralBlake, A. P. The Treasury model under rational expectations. London : University of London. Queen Mary College. Department of Economics, 1986.
Trouver le texte intégralPesaran, Hashem. Limited-dependent rational expectations models with future expectations. Cambridge : Department of Applied Economics, University of Cambridge, 1993.
Trouver le texte intégralFisher, Paul. Rational Expectations in Macroeconomic Models. Dordrecht : Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-8002-1.
Texte intégralKowal, James A. Behavior models : Specifying users' expectations. Englewood Cliffs, New Jersey : Prentice-Hall, 1992.
Trouver le texte intégralKowal, James A. Behavior models : Specifying user's expectations. Englewood Cliffs, N.J : Prentice Hall, 1992.
Trouver le texte intégralRational expectations in macroeconomic models. Dordrecht : Kluwer Academic Publishers, 1992.
Trouver le texte intégralChapitres de livres sur le sujet "Expectational Model"
Jiang, Di, Chen Zhang et Yuanfeng Song. « Expectation Maximization ». Dans Probabilistic Topic Models, 53–62. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2431-8_4.
Texte intégralOsborne, Martin J., et Ariel Rubinstein. « Equilibrium with prices and expectations ». Dans Models in Microeconomic Theory, 187–202. 2e éd. Cambridge, UK : Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0362.13.
Texte intégralOsborne, Martin J., et Ariel Rubinstein. « Equilibrium with prices and expectations ». Dans Models in Microeconomic Theory, 187–202. 2e éd. Cambridge, UK : Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0361.13.
Texte intégralDavis, Mark H. A. « Distributions and expectations ». Dans Markov Models and Optimization, 81–133. Boston, MA : Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-4483-2_3.
Texte intégralPauletto, Giorgio. « Rational Expectations Models ». Dans Advances in Computational Economics, 93–137. Boston, MA : Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2631-2_5.
Texte intégralClements, Michael P. « Macroeconomic Uncertainty : Surveys Versus Models ? » Dans Macroeconomic Survey Expectations, 123–43. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97223-7_7.
Texte intégralClements, Michael P. « Behavioural Models of Expectations Formation ». Dans Macroeconomic Survey Expectations, 145–72. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97223-7_8.
Texte intégralFrydman, Roman, et Michael D. Goldberg. « 6. Opening Models of Asset Prices and Risk to Nonroutine Change ». Dans Rethinking Expectations, sous la direction de Roman Frydman et Edmund S. Phelps, 207–48. Princeton : Princeton University Press, 2013. http://dx.doi.org/10.1515/9781400846450.207.
Texte intégralMitchell, Terence R. « Expectancy-Value Models in Organizational Psychology ». Dans Expectations and Actions, 293–312. London : Routledge, 2021. http://dx.doi.org/10.4324/9781003150879-16.
Texte intégralHolden, K., D. A. Peel et J. L. Thompson. « Expectations in Econometric Models ». Dans Expectations : Theory and Evidence, 143–62. London : Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-17862-9_6.
Texte intégralActes de conférences sur le sujet "Expectational Model"
Lu, Shu Quan, Shiyu Xie et Takao Ito. « Estimation of the Rigidity and Expectational Model ». Dans 2009 Fifth International Joint Conference on INC, IMS and IDC. IEEE, 2009. http://dx.doi.org/10.1109/ncm.2009.148.
Texte intégralYanagisawa, Hideyoshi, et Natsu Mikami. « Effects of Expectation Uncertainty and Surprise on Quality Perception Factors of Expectation Effect ». Dans ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34458.
Texte intégralWells, Peter, et J.-P. Skeete. « Circular Business Models as Instruments of Corporate Power ». Dans New Business Models 2023. Maastricht University Press, 2023. http://dx.doi.org/10.26481/mup.2302.36.
Texte intégralWan, Yi, Muhammad Zaheer, Adam White, Martha White et Richard S. Sutton. « Planning with Expectation Models ». Dans Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California : International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/506.
Texte intégralAbdulla, Farzanna Yashera, et Jabil Mapjabil. « REVIEW OF THEORIES AND MODEL OF RESEARCH ON LIMINALITY IN TOURISM ». Dans GLOBAL TOURISM CONFERENCE 2021. PENERBIT UMT, 2021. http://dx.doi.org/10.46754/gtc.2021.11.048.
Texte intégralFink, Lauren K. « Computational models of temporal expectations ». Dans Future Directions of Music Cognition. The Ohio State University Libraries, 2021. http://dx.doi.org/10.18061/fdmc.2021.0041.
Texte intégral« SEMI-SUPERVISED LEARNING OF ALTERNATIVELY SPLICED EXONS USING EXPECTATION MAXIMIZATION TYPE APPROACHES ». Dans International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003791802400245.
Texte intégralMeng, Ming-Qiang, et Yan-Kui Liu. « Fuzzy Expectation-Based Data Envelopment Analysis Model ». Dans 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370341.
Texte intégralChiang, Yu-Jui, et Hsu-Feng Hsiao. « Expectation Model and Scheduling for Video Streaming ». Dans 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351571.
Texte intégralChereshova, S. V. « Remuneration of Subjects of Parental Labour in Modern Russia : from Expectations to Reality ». Dans XII Ural Demographic Forum “Paradigms and models of demographic development”. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2021. http://dx.doi.org/10.17059/udf-2021-2-19.
Texte intégralRapports d'organisations sur le sujet "Expectational Model"
Oliveira, Lucas Gabriel Martins de. Which One Predicts Better ? : Comparing Different GDP Nowcasting Methods Using Brazilian Data. Inter-American Development Bank, juillet 2023. http://dx.doi.org/10.18235/0005004.
Texte intégralMolavi, Pooya, Alireza Tahbaz-Salehi et Andrea Vedolin. Model Complexity, Expectations, and Asset Prices. Cambridge, MA : National Bureau of Economic Research, janvier 2021. http://dx.doi.org/10.3386/w28408.
Texte intégralRomero-Chamorro, José Vicente, et Sara Naranjo-Saldarriaga. Weather Shocks and Inflation Expectations in Semi-Structural Models. Banco de la República Colombia, novembre 2022. http://dx.doi.org/10.32468/be.1218.
Texte intégralHajdini, Ina, Edward S. Knotek, John Leer, Mathieu O. Pedemonte, Robert W. Rich et Raphael S. Schoenle. Low passthrough from inflation expectations to income growth expectations : why people dislike inflation. Federal Reserve Bank of Cleveland, mars 2023. http://dx.doi.org/10.26509/frbc-wp-202221r.
Texte intégralHajdini, Ina. Mis-specified Forecasts and Myopia in an Estimated New Keynesian Model. Federal Reserve Bank of Cleveland, mars 2023. http://dx.doi.org/10.26509/frbc-wp-202203r.
Texte intégralGaspar, Jess, et Kenneth Judd. Solving Large Scale Rational Expectations Models. Cambridge, MA : National Bureau of Economic Research, février 1997. http://dx.doi.org/10.3386/t0207.
Texte intégralFarmer, Roger E. A., Tao Zha et Daniel Waggoner. Understanding Markov-Switching Rational Expectations Models. Cambridge, MA : National Bureau of Economic Research, février 2009. http://dx.doi.org/10.3386/w14710.
Texte intégralKoşar, Gizem, et Cormac O'Dea. Expectations Data in Structural Microeconomic Models. Cambridge, MA : National Bureau of Economic Research, mai 2022. http://dx.doi.org/10.3386/w30094.
Texte intégralBaldwin, Richard. The Core-Periphery Model with Forward-Looking Expectations. Cambridge, MA : National Bureau of Economic Research, février 1999. http://dx.doi.org/10.3386/w6921.
Texte intégralBeyer, Andreas, Roger E. Farmer, Jérôme Henry et Massimiliano Marcellino. Factor Analysis in a Model with Rational Expectations. Cambridge, MA : National Bureau of Economic Research, septembre 2007. http://dx.doi.org/10.3386/w13404.
Texte intégral