Back to Search

Bayesian Networks: With Examples in R

AUTHOR Denis, Jean-Baptiste; Scutari, Marco
PUBLISHER CRC Press (07/29/2021)
PRODUCT TYPE Hardcover (Hardcover)

Description
The book introduces Bayesian networks using simple yet meaningful examples. Discrete Bayesian networks are described first followed by Gaussian Bayesian networks and mixed networks. All steps in learning are illustrated with R code.
Show More
Product Format
Product Details
ISBN-13: 9780367366513
ISBN-10: 0367366517
Binding: Hardback or Cased Book (Sewn)
Content Language: English
Edition Number: 0002
More Product Details
Page Count: 274
Carton Quantity: 24
Product Dimensions: 6.10 x 0.80 x 9.30 inches
Weight: 1.10 pound(s)
Feature Codes: Bibliography, Index
Country of Origin: US
Subject Information
BISAC Categories
Computers | Data Science - Data Analytics
Computers | Machine Theory
Computers | Probability & Statistics - General
Dewey Decimal: 519.542
Library of Congress Control Number: 2021004238
Descriptions, Reviews, Etc.
publisher marketing
The book introduces Bayesian networks using simple yet meaningful examples. Discrete Bayesian networks are described first followed by Gaussian Bayesian networks and mixed networks. All steps in learning are illustrated with R code.
Show More
List Price $126.99
Your Price  $125.72
Hardcover