Books
Fouad Sabry

Dynamic Bayesian Networks

What Is Dynamic Bayesian Networks

A Bayesian network (BN) is referred to as a Dynamic Bayesian Network (DBN), which is a network that ties variables to each other throughout consecutive time steps.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Dynamic Bayesian Network

Chapter 2: Bayesian Network

Chapter 3: Hidden Markov Model

Chapter 4: Graphical Model

Chapter 5: Recursive Bayesian Estimation

Chapter 6: Time Series

Chapter 7: Statistical Relational Learning

Chapter 8: Bayesian Programming

Chapter 9: Switching Kalman Filter

Chapter 10: Dependency Network (Graphical Model)

(II) Answering the public top questions about dynamic bayesian networks.

(III) Real world examples for the usage of dynamic bayesian networks in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of dynamic bayesian networks' technologies.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of dynamic bayesian networks.
314 printed pages
Original publication
2023
Publication year
2023
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