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  • Search: subject:"Bayesian statistical decision theory"
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Year of publication
Subject
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Bayesian statistical decision theory 57 Forecasting 6 Bayes-Entscheidungstheorie 4 Uncertainty management 4 Vector autoregression 4 Econometric models 3 Estimation 3 Human behavior 3 Inflation (Finance) 3 Information audit 3 Markov processes 3 Mathematical models 3 Prices 3 Risk analysis 3 Statistical analysis 3 Bayes-Verfahren 2 Bias 2 Economic forecasting 2 Equilibrium (Economics) 2 Estimation theory 2 Financial forecasting 2 Monetary policy 2 Philosophy 2 Risikomanagement 2 Scientific management 2 Simulation modeling 2 Social choice 2 Universities and colleges 2 Automatic incident detection 1 Automobiles-Automatic control 1 Banks and banking 1 Bayesian 1 Bayesian Statistical Decision Theory 1 Bayesian statistical decision theory. 1 Benchmarking 1 Business cycles 1 Central 1 Computer software 1 Concentration inequalities 1 Conjectures 1
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Online availability
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Free 28 Undetermined 22
Type of publication
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Book / Working Paper 37 Article 22
Type of publication (narrower categories)
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research-article 9 viewpoint 4 Thesis 3 Bibliographie 2 case-report 1 review-article 1
Language
All
English 38 Undetermined 21
Author
All
Powers, Michael R. 10 Clark, Todd E. 5 Carriero, Andrea 3 Marcellino, Massimiliano 3 Schorfheide, Frank 3 Zafar, Basit 3 Carvalho, Carlos 2 Chang, George 2 Doh, Taeyoung 2 Moustakis, Vassilis S. 2 Song, Dongho 2 Zampetakis, Leonidas A. 2 Abad‐Grau, María M. 1 Abdulhai, Baher 1 Allenby, Greg M. 1 Arias‐Aranda, Daniel 1 Bansal, Ashok K. 1 Beltran, Daniel O. 1 Bolstad, William M. 1 Böcker, Klaus 1 Chi, Albert Y. 1 Chun‐Fong Chiao, Tina 1 Chun‐Yuan, Chan 1 Clark, Todd 1 Cogley, Timothy 1 Cúrdia, Vasco 1 Dam, Niels Arne 1 DeSarbo, Wayne S. 1 Dong‐Her, Shih 1 Draper, David 1 Ebbes, Peter 1 Et. al. 1 Eusepi, Stefano 1 Fong, Duncan K.H. 1 Forbes, Jeffrey 1 Ghosh, Satadal 1 Gill, Jeff 1 Guerrón-Quintana, Pablo A. 1 Herbst, Edward 1 Hsiu‐Sen, Chiang 1
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Institution
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Federal Reserve Bank of New York 8 Federal Reserve Bank of Cleveland 6 Federal Reserve Bank of Philadelphia 3 Institute for Transportation Studies (ITS), University of California-Berkeley 2 Federal Reserve Bank of Boston 1 Federal Reserve Bank of Kansas City 1 Federal Reserve Bank of Minneapolis 1 Federal Reserve Board (Board of Governors of the Federal Reserve System) 1 Sloan School of Management, Massachusetts Institute of Technology (MIT) 1 University of Stellenbosch. Faculty of Economic and Management Sciences. Dept. of Statistics and Actuarial Science. 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
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Staff Reports / Federal Reserve Bank of New York 8 Journal of Risk Finance 6 Working Paper / Federal Reserve Bank of Cleveland 6 The Journal of Risk Finance 4 Working Papers / Federal Reserve Bank of Philadelphia 3 Industrial Management & Data Systems 2 Institute of Transportation Studies, Research Reports, Working Papers, Proceedings 2 International Journal of Quality & Reliability Management 2 Journal of Modelling in Management 2 Studies in Economics and Finance 2 Benchmarking: An International Journal 1 Competitiveness Review 1 International Finance Discussion Papers 1 International Journal of Manpower 1 MPRA Paper 1 Management Decision 1 Research Working Paper / Federal Reserve Bank of Kansas City 1 Working Papers / Federal Reserve Bank of Boston 1 Working Papers / Federal Reserve Bank of Minneapolis 1 Working papers / Sloan School of Management, Massachusetts Institute of Technology (MIT) 1
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Source
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RePEc 32 Other ZBW resources 15 USB Cologne (EcoSocSci) 9 BASE 3
Showing 51 - 59 of 59
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Bayesian Markov mixture of normals approach to modeling financial returns
Chang, George - In: Studies in Economics and Finance 23 (2006) June, pp. 141-158
Purpose – The purpose of this paper is to investigate whether Markov mixture of normals (MMN) model is a viable approach to modeling financial returns. Design/methodology/approach – This paper adopts the full Bayesian estimation approach based on the method of Gibbs sampling, and the latent...
Persistent link: https://www.econbiz.de/10005008742
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Operations strategy and flexibility: modeling with Bayesian classifiers
Abad‐Grau, María M.; Arias‐Aranda, Daniel - In: Industrial Management & Data Systems 106 (2006) 4, pp. 460-484
Purpose – Information analysis tools enhance the possibilities of firm competition in terms of knowledge management. However, the generalization of decision support systems (DSS) is still far away from everyday use by managers and academicians. This paper aims to present a framework of...
Persistent link: https://www.econbiz.de/10014823953
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Bayesian statistics and marketing
Rossi, Peter E.; Allenby, Greg M.; MacCulloch, Robert E. - 2005
Persistent link: https://www.econbiz.de/10004843795
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Forecasts from biased experts: a “meta‐credibility” problem
Powers, Michael R. - In: The Journal of Risk Finance 6 (2005) 1, pp. 47-59
Purpose – In forecasting unknown quantities, risk and finance decision makers often rely on one or more biased experts, statistical specialists representing parties with an interest in the decision maker's final forecast. This problem arises in a variety of contexts, and the decision maker may...
Persistent link: https://www.econbiz.de/10014901352
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Forecasts from biased experts: a “meta-credibility” problem
Powers, Michael R. - In: Journal of Risk Finance 6 (2005) January, pp. 47-59
Purpose – In forecasting unknown quantities, risk and finance decision makers often rely on one or more biased experts, statistical specialists representing parties with an interest in the decision maker's final forecast. This problem arises in a variety of contexts, and the decision maker may...
Persistent link: https://www.econbiz.de/10005002404
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Introduction to Bayesian statistics
Bolstad, William M. - 2004
Persistent link: https://www.econbiz.de/10009607401
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Internet security: malicious e‐mails detection and protection
Dong‐Her, Shih; Hsiu‐Sen, Chiang; Chun‐Yuan, Chan; … - In: Industrial Management & Data Systems 104 (2004) 7, pp. 613-623
New malicious e‐mails are created at the rate of thousands a year and pose a serious security threat. Especially, new, unseen Internet worms and virus often are arriving as e‐mail attachments. In this paper, Bayesian probabilistic network is examined to detect new malicious e‐mail viruses...
Persistent link: https://www.econbiz.de/10014823838
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Bayesian methods : a social and behavioral sciences approach
Gill, Jeff - 2002
Persistent link: https://www.econbiz.de/10004765741
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Bayesian factor analysis
Kaufman, G. M.; Press, S. James. - Sloan School of Management, Massachusetts Institute of … - 1973
Also appeared in the University of Chicago series as Report 7322, Center for Mathematical Studies in Business and Economics, Department of Economics and Graduate School of Business, April 1973.
Persistent link: https://www.econbiz.de/10005574800
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