Lectures on Algebraic Statistics

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

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) "The present monograph grew out of a series of the authors' lectures and its aim is to provide an introduction to some of the fundamental notions in algebraic statistics. ... an excellent source for running seminars on the subject. It could also be used as a textbook in advanced undergraduate or graduate courses ... . presents some open problems giving a few snapshots of current research in the area and may be a good source for problems for young mathematicians interested in the subject." (Luis David Garcia-Puente, Mathematical Reviews, Issue 2012 d)