[PDF.56ir] Semialgebraic Statistics and Latent Tree Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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Semialgebraic Statistics and Latent Tree Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Piotr Zwiernik
[PDF.sf95] Semialgebraic Statistics and Latent Tree Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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| #3505489 in Books | 2015-08-21 | Original language:English | PDF # 1 | .70 x6.20 x9.20l,.0 | File type: PDF | 245 pages||About the Author||Piotr Zwiernik is a Marie Skłodowska-Curie International Fellow in the Department of Mathematics at the University of Genoa. His research interests include statistical inference, graphical models with hidden variables, algebra
Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a systematic, geometric approach to studying the semialgebraic structure of latent tree models.
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 ...
You can specify the type of files you want, for your device.Semialgebraic Statistics and Latent Tree Models (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) | Piotr Zwiernik. I was recommended this book by a dear friend of mine.