Using Dynamic Programming Based on Bayesian Inference in Selection Problems

Dynamic Programming and Bayesian Inference, Concepts and Applications ◽

10.5772/57423 ◽

2014 ◽

Author(s):

Mohammad Saber Fallah Nezhad

Keyword(s):

Dynamic Programming ◽

Bayesian Inference ◽

Selection Problems

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A Decision Making Framework in Production Processes Using Bayesian Inference and Stochastic Dynamic Programming

Journal of Applied Sciences ◽

10.3923/jas.2007.3618.3627 ◽

2007 ◽

Vol 7 (23) ◽

pp. 3618-3627 ◽

Cited By ~ 4

Author(s):

Seyed Taghi Akhavan Ni ◽

Mohammad Saber Fallah Nez

Keyword(s):

Decision Making ◽

Dynamic Programming ◽

Bayesian Inference ◽

Stochastic Dynamic Programming ◽

Stochastic Dynamic ◽

Production Processes ◽

Decision Making Framework

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A Bayesian Inference and Stochastic Dynamic Programming Approach to Determine the Best Binomial Distribution

Communication in Statistics- Theory and Methods ◽

10.1080/03610920802549902 ◽

2009 ◽

Vol 38 (14) ◽

pp. 2379-2397 ◽

Cited By ~ 2

Author(s):

Mohammad Saber Fallah Nezhad ◽

Seyed Taghi Akhavan Niaki

Keyword(s):

Dynamic Programming ◽

Bayesian Inference ◽

Binomial Distribution ◽

Stochastic Dynamic Programming ◽

Programming Approach ◽

Stochastic Dynamic ◽

Dynamic Programming Approach

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Dynamic Programming and Bayesian Inference, Concepts and Applications

10.5772/57005 ◽

2014 ◽

Keyword(s):

Dynamic Programming ◽

Bayesian Inference

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Bayesian inference for dynamic discrete choice models without the need for dynamic programming

Simulation-based Inference in Econometrics ◽

10.1017/cbo9780511751981.007 ◽

2000 ◽

pp. 100-131 ◽

Cited By ~ 15

Author(s):

John F. Geweke ◽

Michael P. Keane

Keyword(s):

Dynamic Programming ◽

Bayesian Inference ◽

Discrete Choice ◽

Choice Models ◽

Discrete Choice Models ◽

Dynamic Discrete Choice

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Bayesian Inference for Dynamic Choice Models Without the Need for Dynamic Programming

10.21034/wp.564 ◽

1996 ◽

Cited By ~ 1

Author(s):

John Geweke ◽

Michael P. Keane

Keyword(s):

Dynamic Programming ◽

Bayesian Inference ◽

Choice Models ◽

Dynamic Choice ◽

Dynamic Choice Models

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A Multi-Stage Two-Machines Replacement Strategy Using Mixture Models, Bayesian Inference, and Stochastic Dynamic Programming

Communication in Statistics- Theory and Methods ◽

10.1080/03610920903453459 ◽

2011 ◽

Vol 40 (4) ◽

pp. 702-725 ◽

Cited By ~ 4

Author(s):

Mohammad Saber Fallah Nezhad ◽

Seyed Taghi Akhavan Niaki

Keyword(s):

Dynamic Programming ◽

Bayesian Inference ◽

Mixture Models ◽

Stochastic Dynamic Programming ◽

Stochastic Dynamic ◽

Replacement Strategy ◽

Multi Stage ◽

Two Machines

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Generalizations, formulations and subgradient based heuristic with dynamic programming procedure for target set selection problems

Computers & Operations Research ◽

10.1016/j.cor.2021.105441 ◽

2021 ◽

pp. 105441

Author(s):

Santiago V. Ravelo ◽

Cláudio N. Meneses

Keyword(s):

Dynamic Programming ◽

Selection Problems ◽

Target Set ◽

Target Set Selection

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Fundamentals of Nonparametric Bayesian Inference

10.1017/9781139029834 ◽

2017 ◽

Cited By ~ 48

Author(s):

Subhashis Ghosal ◽

Aad van der Vaart

Keyword(s):

Bayesian Inference ◽

Nonparametric Bayesian

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The Long-Run Accuracy of Heuristics: Covariation Assessment, Bayesian Inference, and Hypothesis Testing

PsycEXTRA Dataset ◽

10.1037/e616342011-042 ◽

1991 ◽

Author(s):

Craig R. M. McKenzie

Keyword(s):

Bayesian Inference ◽

Hypothesis Testing ◽

Long Run

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Dynamic Programming in Chemical Engineering and Process Control

10.1016/s0076-5392(08)x6180-6 ◽

1964 ◽

Keyword(s):

Dynamic Programming ◽

Process Control ◽

Chemical Engineering

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