- 140 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
New Insights into Bayesian Inference
About this book
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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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access New Insights into Bayesian Inference by Mohammad Saber Fallah Nezhad in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- New Insights into Bayesian Inference
- Contents
- Preface
- Chapter 1 Introductory Chapter: Bayesian Thinking
- Chapter 2 Bayesian Modeling Approaches for Temporal Dynamics in RNA-seq Data
- Chapter 3 Bayesian Analysis for Hidden Markov Factor Analysis Models
- Chapter 4 Dynamic Process Model Parameter Estimation by Global System Analysis
- Chapter 5 Preventing Disparities: Bayesian and Frequentist Methods for Assessing Fairness in Machine-Learning Decision-Support Models
- Chapter 6 Using Bayesian Inference to Investigate the Influence of Environmental Factors on a Phytoplasma Disease
- Chapter 7 A Bayesian Hau-Kashyap Approach for Hepatitis Disease Detection