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Dynamic Programming and Bayesian Inference, Concepts and Applications by Nezhad M.S.F. is a nonfiction available to read on EtoBox.

What is Dynamic Programming and Bayesian Inference, Concepts and Applications about?

InTech, 2014. — 160 p. — ISBN: 9789535113645 The purpose of this book is to provide some applications of Bayesian optimization and dynamic programming. Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. Because of these developments, interest in dynamic programming and Bayesian inference and their applications has greatly increased at all mathematical levels. Contents: Preface. Bayesian Networks for Supporting Model Based Predictive Control of Smart Buildings. Integration of Remotely Sensed Images and Electromagnetic Models into a Bayesian Approach for Soil Moisture Content Retrieval: Methodology and Effect of Prior Information. Optimizing Basel III Liquidity Coverage Ratios. Risk-Constrained Forward Trading Optimization by Stochastic Approximate Dynamic Programming. Using Dynamic Programming Based on Bayesian Inference in Selection Problems. with TOC BookMarkLinks.

Who reads Dynamic Programming and Bayesian Inference, Concepts and Applications?

Author

Nezhad M.S.F.

Publisher

Intechopen

Published

2014

Language

EN

ISBN

9789535150480

Category

nonfiction

Subjects

Mathematics, Optimization. Operations Research, Stem