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"Dynamic Programming and Bayesian Inference, Concepts and Applications" ed. by Mohammad Saber Fallah Nezhad

Posted By: exLib
"Dynamic Programming and Bayesian Inference, Concepts and Applications" ed. by Mohammad Saber Fallah Nezhad

"Dynamic Programming and Bayesian Inference, Concepts and Applications" ed. by Mohammad Saber Fallah Nezhad
InTAvE | 2014 | ISBN: 953511364X 9789535113645 | 160 pages | PDF | 10 MB

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
1 Bayesian Networks for Supporting Model Based Predictive Control of Smart Buildings
2 Integration of Remotely Sensed Images and Electromagnetic Models into a Bayesian Approach for Soil Moisture Content Retrieval: Methodology and Effect of Prior Information
3 Optimizing Basel III Liquidity Coverage Ratios
4 Risk-Constrained Forward Trading Optimization by Stochastic Approximate Dynamic Programming
5 Using Dynamic Programming Based on Bayesian Inference in Selection Problems
with TOC BookMarkLinks