1. Introduction -- 2. Graphs and hypergraphs -- 3. Conditional independence and Markov properties -- 4. Contingency tables -- 5. Multivariate normal models -- 6. Models for mixed data -- 7. Further topics -- App. A Various prerequisites -- App. B Linear algebra and random vectors -- App. C The multivariate normal distribution -- App. D Exponential models
Analysis
Graph theory
Notes
Provides a comprehensive account of the theory of graphical models (cover)
Bibliography
Includes bibliographical references (pages [278]-293) and index
