Open access peer-reviewed Edited volume

Bayesian Inference

The range of Bayesian inference algorithms and their different applications has been greatly expanded since the first implementation of a Kalman filter by Stanley F. Schmidt for the Apollo program. Extended Kalman filters or particle filters are just some examples of these algorithms that have been extensively applied to logistics, medical services, search and rescue operations, or automotive safety, among others. This book takes a look at both theoretical foundations of Bayesian inference and practical implementations in different fields. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics, as well as a source document of fundamentals for intermediate Bayesian readers.

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Bayesian InferenceEdited by Javier Prieto Tejedor

Published: November 2nd 2017

DOI: 10.5772/66264

ISBN: 978-953-51-3578-4

Print ISBN: 978-953-51-3577-7

Copyright year: 2017

Books open for chapter submissions

5908 Total Chapter Downloads

2 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Bayesian Inference Application

By Wiyada Kumam, Plern Saipara and Poom Kumam

453

Open access peer-reviewed

2. Node-Level Conflict Measures in Bayesian Hierarchical Models Based on Directed Acyclic Graphs

By Jørund I. Gåsemyr and Bent Natvig

272

Open access peer-reviewed

3. Classifying by Bayesian Method and Some Applications

By Tai Vovan

328

Open access peer-reviewed

4. Hypothesis Testing for High-Dimensional Problems

By Naveen K. Bansal

270

Open access peer-reviewed

5. Bayesian vs Frequentist Power Functions to Determine the Optimal Sample Size: Testing One Sample Binomial Proportion Using Exact Methods

By Valeria Sambucini

336

Open access peer-reviewed

6. Converting Graphic Relationships into Conditional Probabilities in Bayesian Network

By Loc Nguyen

281

Open access peer-reviewed

7. Bayesian Estimation of Multivariate Autoregressive Hidden Markov Model with Application to Breast Cancer Biomarker Modeling

By Hamid El Maroufy, El Houcine Hibbah, Abdelmajid Zyad and Taib Ziad

342

Open access peer-reviewed

8. Bayesian Model Averaging and Compromising in Dose-Response Studies

By Steven B. Kim

280

Open access peer-reviewed

9. Two Examples of Bayesian Evidence Synthesis with the Hierarchical Meta-Regression Approach

By Pablo Emilio Verde

280

Open access peer-reviewed

10. Bayesian Modeling in Genetics and Genomicsvvv

By Hafedh Ben Zaabza, Abderrahmen Ben Gara and Boulbaba Rekik

297

Open access peer-reviewed

11. Bayesian Two-Stage Robust Causal Modeling with Instrumental Variables using Student's t Distributions

By Dingjing Shi and Xin Tong

297

Open access peer-reviewed

12. Bayesian Hypothesis Testing: An Alternative to Null Hypothesis Significance Testing (NHST) in Psychology and Social Sciences

By Alonso Ortega and Gorka Navarrete

611

Open access peer-reviewed

13. Bayesian Inference and Compressed Sensing

By Solomon A. Tesfamicael and Faraz Barzideh

374

Open access peer-reviewed

14. Sparsity in Bayesian Signal Estimation

By Ishan Wickramasingha, Michael Sobhy and Sherif S. Sherif

282

Open access peer-reviewed

15. Dynamic Bayesian Network for Time-Dependent Classification Problems in Robotics

By Cristiano Premebida, Francisco A. A. Souza and Diego R. Faria

319

Open access peer-reviewed

16. A Bayesian Model for Investment Decisions in Early Ventures

By Anamaria Berea and Daniel Maxwell

299

Open access peer-reviewed

17. Recent Advances in Nonlinear Filtering with a Financial Application to Derivatives Hedging under Incomplete Information

By Claudia Ceci and Katia Colaneri

251

Open access peer-reviewed

18. Airlines Content Recommendations Based on Passengers' Choice Using Bayesian Belief Networks

By Sien Chen, Wenqiang Huang, Mengxi Chen, Junjiang Zhong and Jie Cheng

336

Edited volume and chapters are indexed in

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  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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