**Bayesian Networks: Advances and Novel Applications**

by Douglas McNair (ed.)

**Publisher**: IntechOpen 2019**ISBN-13**: 9781839623240**Number of pages**: 256

**Description**:

Bayesian networks (BN) have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis and assets and liabilities management, AI and robotics, transportation systems planning and optimization, political science analytics, law and forensic science assessment of agency and culpability, pharmacology and pharmacogenomics, systems biology and metabolomics, psychology, and policy-making and social programs evaluation.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Computer Age Statistical Inference: Algorithms, Evidence, and Data Science**

by

**Bradley Efron, Trevor Hastie**-

**Stanford University**

Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.

(

**3164**views)

**Foundations of Descriptive and Inferential Statistics**

by

**Henk van Elst**-

**arXiv**

These lecture notes were written to provide an accessible though technically solid introduction to the logic of systematical analyses of statistical data to undergraduate and postgraduate students in the Social Sciences and Economics in particular.

(

**9663**views)

**Bayesian Methods for Statistical Analysis**

by

**Borek Puza**-

**ANU Press**

A book on statistical methods for analysing a wide variety of data. Topics: bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, finite population inference, biased sampling and nonignorable nonresponse, etc.

(

**5306**views)

**Essentials of Statistics**

by

**David Brink**-

**BookBoon**

This compendium of probability and statistics offers an instruction in the central areas of these subjects. The focus is overview. The book is intensively examplefied, which give the reader a recipe how to solve all the common types of exercises.

(

**15871**views)