Table of Contents

Markov Bases.- Likelihood Inference.- Conditional Independence.- Hidden Variables.- Bayesian Integrals.- Exercises.- Open Problems.

Reviews

From the reviews: "The book provides a succinct overview of the state of the art, including a long section discussing interesting and open problems. ... The book certainly achieves the authors' stated aims of encouraging 'dialogue between algebra and statistics, to benefit both disciplines.' ... the book particularly effective as a tool for a reading group on algebraic statistics; it is an excellent resource, cuts straight to the subject's open questions, and should be an interesting read for any researcher of theoretical statistics." (Robin J. Evans, SIAM Review, Vol. 53 (1), 2011)