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  • 1
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    Rijeka : InTech
    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
    Language: English
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