Keywords:
Bayesian inference
;
algorithms
;
Kalman filtering
;
Bayesian modeling
;
Hidden Markov modeling
Description / Table of Contents:
Chapter 1: Bayesian Inference Application by Wiyada Kumam, Plern Saipara and Poom Kumam ---
Chapter 2: Node-Level Conflict Measures in Bayesian Hierarchical Models Based on Directed Acyclic Graphs by Jørund I. Gåsemyr and Bent Natvig ---
Chapter 3: Classifying by Bayesian Method and Some Applications by Tai Vovan ---
Chapter 4: Hypothesis Testing for High-Dimensional Problems by Naveen K. Bansal ---
Chapter 5: Bayesian vs Frequentist Power Functions to Determine the Optimal Sample Size: Testing One Sample Binomial Proportion Using Exact Methods by Valeria Sambucini ---
Chapter 6: Converting Graphic Relationships into Conditional Probabilities in Bayesian Network by Loc Nguyen ---
Chapter 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 ---
Chapter 8: Bayesian Model Averaging and Compromising in Dose-Response Studies by Steven B. Kim ---
Chapter 9: Two Examples of Bayesian Evidence Synthesis with the Hierarchical Meta-Regression Approach by Pablo Emilio Verde ---
Chapter 10: Bayesian Modeling in Genetics and Genomicsvvv by Hafedh Ben Zaabza, Abderrahmen Ben Gara and Boulbaba Rekik ---
Chapter 11: Bayesian Two-Stage Robust Causal Modeling with Instrumental Variables using Student's t Distributions by Dingjing Shi and Xin Tong ---
Chapter 12: Bayesian Hypothesis Testing: An Alternative to Null Hypothesis Significance Testing (NHST) in Psychology and Social Sciences by Alonso Ortega and Gorka Navarrete ---
Chapter 13: Bayesian Inference and Compressed Sensing by Solomon A. Tesfamicael and Faraz Barzideh ---
Chapter 14: Sparsity in Bayesian Signal Estimation by Ishan Wickramasingha, Michael Sobhy and Sherif S. Sherif ---
Chapter 15: Dynamic Bayesian Network for Time-Dependent Classification Problems in Robotics by Cristiano Premebida, Francisco A. A. Souza and Diego R. Faria ---
Chapter 16: A Bayesian Model for Investment Decisions in Early Ventures by Anamaria Berea and Daniel Maxwell ---
Chapter 17: Recent Advances in Nonlinear Filtering with a Financial Application to Derivatives Hedging under Incomplete Information by Claudia Ceci and Katia Colaneri ---
Chapter 18: Airlines Content Recommendations Based on Passengers' Choice Using Bayesian Belief Networks by Sien Chen, Wenqiang Huang, Mengxi Chen, Junjiang Zhong and Jie Cheng
Pages:
Online-Ressource (376 Seiten)
ISBN:
9789535135784
URL:
https://www.intechopen.com/books/bayesian-inference
Language:
English
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