Introduction to Graphical Modeling

By Ronald Christensen. 2001

94 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/382697f1ed84a41765b586f2b8b9af2f64010c37

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Alan S. Willsky
2. Martin A. Lindquist
3. Ragnheidur Haraldsdottir
4. Peter Z. G. Qian
5. Tor D. Wager
6. Ivor Cribben
7. Lauren Y. Atlas
8. Yew-Soon Ong

Citations in the corpus

• Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors (2008, background): “The problem of estimating a positive definite matrix occurs in many applications in statistics, including factor analysis (Bartholomew and Knott 1999) and Gaussian graphical models (Lauritzen 1996; Edwards 2000).”
• Multiresolution Markov models for signal and image processing (2002, methodology): “More generally, the coarser scale variables may or may not be directly observed and may or may not be deterministic functions of the finest scale variables , and their inclusion in the representation may serve purposes such as exposing the statistical structure of the (a) (b)”
• Dynamic connectivity regression: Determining state-related changes in brain connectivity (2012, methodology): “The DCR technique builds upon the extensive literature on graphical models (Whittaker, 1990; Edwards, 1995; Cox and Wermuth, 1996).”