Graphical Models and Exponential Families (1998)

Cached

Download Links

by Dan Geiger , Christopher Meek
Citations:19 - 1 self

Documents Related by Co-Citation

1124 Graphical Models – S L Lauritzen - 1996
7069 Probabilistic Reasoning in Intelligent Systems – J Pearl - 1988
54 Decision-Theoretic Foundations for Causal Reasoning – David Heckerman, Ross Shachter - 1995
1129 Causality: Models, Reasoning, and Inference – J Pearl - 2000
21 On the geometry of Bayesian graphical models with hidden variables – R Settimi, J Q Smith - 1998
57 Algebraic Geometry of Bayesian Networks – Luis David Garcia, Michael Stillman, Bernd Sturmfels - 2005
220 Equivalence and synthesis of causal models – T Verma, J Pearl - 1990
1081 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, Tom Dietterich - 1992
21 On the testability of causal models with latent and instrumental variables – J Pearl - 1995
14 Geometry, moments and conditional independence trees with hidden variables – R Settimi, J Q Smith - 2005
54 Stratified exponential families: Graphical models and model selection – Author(s) Dan Geiger, David Heckerman, Henry King, Christopher Meek, Dan Geiger, David Heckerman, Henry King, Christopher Meek - 2001
30 Asymptotic Model Selection for Naive Bayesian Networks – Dmitry Rusakov, Dan Geiger - 2002
7 Algebraic Statistics in Model Selection – L D Garcia - 2004
510 Causation, Prediction and Search – P Sprites, C Glymour, R Scheines - 1993
16 Graphical models for causal inference – Steffen L. Lauritzen - 2005
4 On the theoretical limits to reliable causal inference – B Desjardins - 1999
17 On the testable implications of causal models with hidden variables – J Tian, J 2002b Pearl
8 Quantifier elimination for statistical problems – Dan Geiger, Christopher Meek - 1999
180 Causal Diagrams For Empirical Research – Judea Pearl