Results 241 to 250 of about 317,964 (264)

Discrete Graphical Models and Their Parameterization

2018
This chapter is devoted to graphical models in which the observed variables are categorical, that is, whose state space consists of a finite number of values. The focus is on regression graph models, because this family of models allows us to approach discrete graphical models with a sufficient degree of generality.
La Rocca, Luca, Roverato, Alberto
openaire   +2 more sources

Graphical Models for Processing Missing Data

Journal of the American Statistical Association, 2021
Karthika Mohan, Judea Pearl
exaly  

Graphical Modelling

1995
Abstract The aim of this chapter is to provide a non-technical overview of graphical modelling. Independence graphs with both lines (undirected edges) and arrows (directed edges) are described, together with associated models in duding both discrete and continuous variables. Some discussion of causal inference is also given. Graphical
openaire   +1 more source

Introduction to Graphical Modelling

Technometrics, 2002
openaire   +1 more source

High-dimensional semiparametric Gaussian copula graphical models

Annals of Statistics, 2012
Fang Han, Ming Yuan, John Lafferty
exaly  

On the toric algebra of graphical models

Annals of Statistics, 2006
Dan Geiger, Christopher Meek, Bernd Sturmfels   +2 more
exaly  

Functional Graphical Models

Journal of the American Statistical Association, 2019
Xinghao Qiao, Shaojun Guo
exaly  

Stratified exponential families: Graphical models and model selection

Annals of Statistics, 2001
Dan Geiger, Christopher Meek
exaly  

Graphical models for imprecise probabilities

International Journal of Approximate Reasoning, 2005
Fabio Gagliardi Cozman
exaly  

Copula Gaussian graphical models and their application to modeling functional disability data

Annals of Applied Statistics, 2011
Adrian Dobra, Alex Lenkoski
exaly