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  • Search: subject:"Bayesian dynamic programming"
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Year of publication
Subject
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Markov Chain Monte Carlo 4 Bayesian Dynamic Programming 2 Bayesian Dynamic Programming Estimation 2 Bayesian Estimation 2 Discrete Choice Dynamic Programming 2 Diskrete Entscheidung 2 Dynamic Discrete Choice Model 2 Dynamic Programming 2 Theorie 2 Bayes-Statistik 1 Dynamische Optimierung 1 Experiment 1 Markov-Kette 1 Markovscher Prozess 1 Monte-Carlo-Methode 1
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Online availability
All
Free 4
Type of publication
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Book / Working Paper 4
Type of publication (narrower categories)
All
Working Paper 2
Language
All
English 4
Author
All
Ching, Andrew 4 Imai, Susumu 4 Jain, Neelam 4 Ishihara, Masakazu 2
Institution
All
Economics Department, Queen's University 2
Published in...
All
Queen's Economics Department Working Paper 2 Working Papers / Economics Department, Queen's University 2
Source
All
EconStor 2 RePEc 2
Showing 1 - 4 of 4
Cover Image
A practitioner's guide to Bayesian estimation of discrete choice dynamic programming models
Ching, Andrew; Imai, Susumu; Ishihara, Masakazu; Jain, … - 2009
Bayesian Dynamic Programming algorithm developed in Imai, Jain and Ching (2008) (IJC). The IJC method combines the DDP solution … information obtained in the past iterations remains unused in the current iteration. In contrast, the Bayesian Dynamic Programming …
Persistent link: https://www.econbiz.de/10010290365
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Cover Image
A Practitioner's Guide to Bayesian Estimation of Discrete Choice Dynamic Programming Models
Ching, Andrew; Imai, Susumu; Ishihara, Masakazu; Jain, … - Economics Department, Queen's University - 2009
Bayesian Dynamic Programming algorithm developed by Imai Jain and Ching (2008) (IJC). The IJC method combines the DDP solution … information obtained in the past iterations remains unused in the current iteration. In contrast, the Bayesian Dynamic Programming …
Persistent link: https://www.econbiz.de/10005209120
Saved in:
Cover Image
Bayesian Estimation of Dynamic Discrete Choice Models
Imai, Susumu; Jain, Neelam; Ching, Andrew - 2006
We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the DP problem and estimates the parameters...
Persistent link: https://www.econbiz.de/10011940732
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Cover Image
Bayesian Estimation of Dynamic Discrete Choice Models
Imai, Susumu; Jain, Neelam; Ching, Andrew - Economics Department, Queen's University - 2006
We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the DP problem and estimates the parameters...
Persistent link: https://www.econbiz.de/10005688258
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