Readership: Researchers and graduate students of mathematical statistics with an interest in graphical modelling; applied statisticians and researchers in uncertainty in Artificial Intelligence.
Steffen L. Lauritzen, Professor, Department of Mathematics and Computer Science, University of Aalborg, Denmark
"...this is an excellent reference book for those who are interested in studying the mathematical theory for graphical models." - Short Book Reviews, vol. 18, no. 1, April 1998
Introduction 1: Graphs and Hypergraphs 2: Conditional Independence and Markov Properties 3: Contingency Tables 4: Multivariate Normal Models 5: Models for Mixed Data 6: Further topics A Various Prerequisites B Linear Algebra and Random Vectors C The Multivariate Distribution D Exponential Models
