Graphical Models with R

Graphical Models with R
Author :
Publisher : Springer Science & Business Media
Total Pages : 187
Release :
ISBN-10 : 9781461422990
ISBN-13 : 146142299X
Rating : 4/5 (99X Downloads)

Book Synopsis Graphical Models with R by : Søren Højsgaard

Download or read book Graphical Models with R written by Søren Højsgaard and published by Springer Science & Business Media. This book was released on 2012-02-22 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.


Graphical Models with R Related Books

Graphical Models with R
Language: en
Pages: 187
Authors: Søren Højsgaard
Categories: Mathematics
Type: BOOK - Published: 2012-02-22 - Publisher: Springer Science & Business Media

GET EBOOK

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments
Graphical Models
Language: en
Pages: 314
Authors: Steffen L. Lauritzen
Categories: Mathematics
Type: BOOK - Published: 1996-05-02 - Publisher: Clarendon Press

GET EBOOK

The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in ge
Graphical Models
Language: en
Pages: 404
Authors: Christian Borgelt
Categories: Mathematics
Type: BOOK - Published: 2009-07-30 - Publisher: John Wiley & Sons

GET EBOOK

Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to l
Building Probabilistic Graphical Models with Python
Language: en
Pages: 172
Authors: Kiran R. Karkera
Categories: Graphical modeling (Statistics)
Type: BOOK - Published: 2014 - Publisher:

GET EBOOK

"This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python
Graphical Models
Language: en
Pages: 450
Authors: Michael Irwin Jordan
Categories: Computers
Type: BOOK - Published: 2001 - Publisher: MIT Press

GET EBOOK

This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithm and architectures. The selecti