Open access peer-reviewed Edited Volume

New Insights into Bayesian Inference

This book is an introduction to the mathematical analysis of Bayesian decision-making when the state of the problem is unknown but further data about it can be obtained. The objective of such analysis is to determine the optimal decision or solution that is logically consistent with the preferences of the decision-maker, that can be analyzed using numerical utilities or criteria with the probabilities assigned to the possible state of the problem, such that these probabilities are updated by gathering new information.

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New Insights into Bayesian InferenceEdited by Mohammad Saber Fallah Nezhad

Published: May 2nd 2018

DOI: 10.5772/intechopen.70722

ISBN: 978-1-78923-093-2

Print ISBN: 978-1-78923-092-5

Copyright year: 2018

Books open for chapter submissions

1658 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Bayesian Thinking

By Mohammad Saber Fallah Nezhad

260

Open access peer-reviewed

2. Bayesian Modeling Approaches for Temporal Dynamics in RNA-seq Data

By Sunghee Oh and Seongho Song

224

Open access peer-reviewed

3. Bayesian Analysis for Hidden Markov Factor Analysis Models

By Yemao Xia, Xiaoqian Zeng and Niansheng Tang

232

Open access peer-reviewed

4. Dynamic Process Model Parameter Estimation by Global System Analysis

By Shigeru Kashiwaya

238

Open access peer-reviewed

5. Preventing Disparities: Bayesian and Frequentist Methods for Assessing Fairness in Machine-Learning Decision-Support Models

By Douglas S. McNair

232

Open access peer-reviewed

6. Using Bayesian Inference to Investigate the Influence of Environmental Factors on a Phytoplasma Disease

By Bernd Panassiti

242

Open access peer-reviewed

7. A Bayesian Hau-Kashyap Approach for Hepatitis Disease Detection

By Andino Maseleno, Rohmah Zahroh Hidayati, Marini Othman, Alicia Y.C. Tang and Moamin A. Mahmoud

230

Edited Volume and chapters are indexed in

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

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