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  • Search: subject:"Bayesian dynamic programming"
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Year of publication
Subject
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Bayesian dynamic programming 8 Bayes-Statistik 4 Dynamische Optimierung 4 Markov Chain Monte Carlo 4 Theorie 4 Bayesian inference 3 Dynamic programming 3 Bayesian Dynamic Programming 2 Bayesian Dynamic Programming Estimation 2 Bayesian Estimation 2 Bayesian inventory management 2 Coin tossing 2 Discrete Choice Dynamic Programming 2 Diskrete Entscheidung 2 Dynamic Discrete Choice Model 2 Dynamic Programming 2 Experiment 2 Learning 2 Learning process 2 Lernen 2 Lernprozess 2 Markov-Kette 2 Theory 2 beta distribution 2 conjugate prior 2 risk aversion 2 stochastic comparison 2 unobserved lost sales 2 Advertising regulation 1 Analysis of variance 1 Bayesian learning 1 Bestandsmanagement 1 Decision 1 Decision Analysis 1 Economics of information 1 Entropie 1 Entropy 1 Entscheidung 1 Estimation theory 1 Information behaviour 1
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Online availability
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Undetermined 8 Free 4
Type of publication
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Article 8 Book / Working Paper 4
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 2
Language
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English 7 Undetermined 5
Author
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Ching, Andrew 4 Imai, Susumu 4 Jain, Neelam 4 Kim, Michael Jong 3 Ishihara, Masakazu 2 Müller, Alfred 2 Porteus, Evan L. 2 Scarsini, Marco 2 Angelus, Alexandar 1 Chen, Li 1 Chuang, Ya-Tang 1 Keppo, Jussi 1 Lariviere, Martin A. 1 Plambeck, Erica L. 1 Zhang, Xinyuan 1
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Institution
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Economics Department, Queen's University 2
Published in...
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Management Science 2 Operations research 2 Queen's Economics Department Working Paper 2 Working Papers / Economics Department, Queen's University 2 Computational Statistics 1 Manufacturing & Service Operations Management 1 Mathematical Methods of Operations Research 1 Mathematics of operations research 1
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Source
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RePEc 7 ECONIS (ZBW) 3 EconStor 2
Showing 11 - 12 of 12
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Stalking Information: Bayesian Inventory Management with Unobserved Lost Sales
Lariviere, Martin A.; Porteus, Evan L. - In: Management Science 45 (1999) 3, pp. 346-363
Retailers are frequently uncertain about the underlying demand distribution of a new product. When taking the empirical Bayesian approach of Scarf (1959), they simultaneously stock the product over time and learn about the distribution. Assuming that unmet demand is lost and unobserved, this...
Persistent link: https://www.econbiz.de/10009214198
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Opportunities for Improved Statistical Process Control
Porteus, Evan L.; Angelus, Alexandar - In: Management Science 43 (1997) 9, pp. 1214-1228
Our Bayesian dynamic programming model builds on existing models to account for inspection delay, choice of keeping …
Persistent link: https://www.econbiz.de/10009203944
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