Semialgebraic Statistics and Latent Tree Models is popular PDF and ePub book, written by Piotr Zwiernik in 2015-08-21, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Semialgebraic Statistics and Latent Tree Models can be Read Online from any device for your convenience.
Semialgebraic Statistics and Latent Tree Models Book PDF Summary
The first part of the book gives a general introduction to key concepts in algebraic statistics, focusing on methods that are helpful in the study of models with hidden variables. The author uses tensor geometry as a natural language to deal with multivariate probability distributions, develops new combinatorial tools to study models with hidden data, and describes the semialgebraic structure of statistical models. The second part illustrates important examples of tree models with hidden variables. The book discusses the underlying models and related combinatorial concepts of phylogenetic trees as well as the local and global geometry of latent tree models. It also extends previous results to Gaussian latent tree models. This book shows you how both combinatorics and algebraic geometry enable a better understanding of latent tree models. It contains many results on the geometry of the models, including a detailed analysis of identifiability and the defining polynomial constraints
Detail Book of Semialgebraic Statistics and Latent Tree Models PDF
- Author : Piotr Zwiernik
- Release : 21 August 2015
- Publisher : CRC Press
- ISBN : 9781466576223
- Genre : Mathematics
- Total Page : 241 pages
- Language : English
- PDF File Size : 11,6 Mb
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