عنوان

Bayesian networks

(Number (ISBN

9780367366513

(Number (ISBN

9781032038490

(Number (ISBN

9780429347436

Number

E3770

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Bayesian networks

Other Title Information

with examples in R

First Statement of Responsibility

Marco Scutari, Jean-Baptiste Denis.

Edition Statement

2nd ed.

Place of Publication, Distribution, etc.

Boca Raton

Name of Publisher, Distributor, etc.

CRC Press

Date of Publication, Distribution, etc.

2021.

Specific Material Designation and Extent of Item

xv, 225 p.

Series Title

Chapman and Hall/CRC texts in statistical science

Text of Note

Includes bibliographical references and index.

Text of Note

"Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side-by-side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular, this new edition contains significant new material on topics from modern machine learning practice: dynamic networks, networks with heterogeneous variables, and model validation. The first three chapters explain the whole process of Bayesian network modelling, from structure learning to parameter learning to inference. These chapters cover discrete, Gaussian, and conditional Gaussian Bayesian networks. The following two chapters delve into dynamic networks (to model temporal data) and into networks including arbitrary random variables (using Stan). The book then gives a concise but rigorous treatment of the fundamentals of Bayesian networks and offers an introduction to causal Bayesian networks. It also presents an overview of R packages and other software implementing Bayesian networks. The final chapter evaluates two real-world examples: a landmark causal protein-signaling network published in Science and a probabilistic graphical model for predicting the composition of different body parts. Covering theoretical and practical aspects of Bayesian networks, this book provides you with an introductory overview of the field. It gives you a clear, practical understanding of the key points behind this modelling approach and, at the same time, it makes you familiar with the most relevant packages used to implement real-world analyses in R. The examples covered in the book span several application fields, data-driven models and expert systems, probabilistic and causal perspectives, thus giving you a starting point to work in a variety of scenarios. Online supplementary materials include the data sets and the code used in the book, which will all be made available from https://www.bnlearn.com/book-crc-2ed/ Marco Scutari is a Senior Lecturer at Istituto Dalle Molle di Studisull'Intelligenza Artificiale (IDSIA), Switzerland. He has held positions in Statistics, Statistical Genetics and Machine Learning in the UK and Switzerland since completing his Ph.D. in Statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering. Jean-Baptiste Denis was formerly appointed as a statistician and modeller at the "Mathematics and Applied Informatics from Genome to Environment" unit of the French National Research Institute for Agriculture, Food and Environment. His main research interests were the modelling of two-way tables and Bayesian approaches, especially applied to genotype-by-environment interactions and microbiological food safety"--

Entry Element

Bayesian statistical decision theory.

Entry Element

R (Computer program language)

Edition

Class number

Book number

Entry Element

Scutari, Marco,

Denis, Jean-Baptiste, 1949-

Country

ایران

Agency

University of Tehran. Library of College of Science

Date of Transaction

20210212140641.0

Cataloguing Rules (Descriptive Conventions))

rda

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1004057_0001.pdf

e

BL

278840

a

Y