Algebraic and Geometric Methods in Statistics by Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry

By Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn

This updated account of algebraic facts and knowledge geometry explores the rising connections among the 2 disciplines, demonstrating how they are often utilized in layout of experiments and the way they gain our figuring out of statistical types, specifically, exponential types. This booklet provides a brand new approach of imminent classical statistical difficulties and increases medical questions that will by no means were thought of with no the interplay of those disciplines. starting with a short creation to every sector, utilizing basic illustrative examples, the booklet then proceeds with a suite of experiences and a few new effects written by means of prime researchers of their respective fields. half III dwells in either classical and quantum details geometry, containing surveys of key effects and new fabric. ultimately, half IV offers examples of the interaction among algebraic information and knowledge geometry. machine code and proofs also are to be had on-line, the place key examples are constructed in extra element.

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Singular point in the relative interior of the simplex ∆d−1 or a point on the boundary. In both cases, standard asymptotics for hypothesis testing and model selection fall short. 3 Geometric description of latent class models In this section, we give a geometric representation of latent class models, summarise existing results and point to some of the relevant mathematical literature. For more details, see (Garcia et al. 2005) and (Garcia 2004). 3) can be described as the set of all convex combinations of all r-tuple of points lying on the surface of independence inside ∆d−1 .

Xk }. 6 Let I be a primary ideal. Then, I is a prime ideal. √ Often, the primary ideal I is called I-primary. 6 Let I ⊂ R, I = R, be an ideal. Then, there exist I1 , . . , It primary ideals with different radical ideals such that I = I1 ∩ · · · ∩ It . 6 provides the so-called primary decomposition of I. 1 If I is a radical ideal, then it is the intersection of prime ideals. 7 links morphisms and primary decomposition, in a special case that is of interest in algebraic statistics. 7 Let I = I1 ∩ · · · ∩ It be a primary decomposition of I, and assume that Ii + Ij = R for every i = j.

And Nagaoka, H. (2000). Methods of Information Geometry (American Mathematical Society/Oxford University Press). Aoki, S. and Takemura, A. (2008). The largest group of invariance for Markov bases and toric ideals, Journal of Symbolic Computing 43(5), 342–58. Atiyah, M. F. and Macdonald, I. G. (1969). Introduction to Commutative Algebra (Addison-Wesley Publishing Company). , Riccomagno, E. and Wynn, H. P. (2007). 3055). Casanellas, M. and Fern´ andez-S´ anchez, J. (2007). Performance of a new invariants method on homogeneous and nonhomogeneous quartet trees, Molecular Biology and Evolution 24(1), 288–93.

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