Algebraic Statistics : Computational Commutative Algebra in Statistics
Algebraic Statistics : Computational Commutative Algebra in Statistics. Giovanni Pistone
- Author: Giovanni Pistone
- Published Date: 21 Dec 2000
- Publisher: Taylor & Francis Inc
- Language: English
- Book Format: Hardback::184 pages
- ISBN10: 1584882042
- ISBN13: 9781584882046
- Imprint: CRC Press Inc
- Dimension: 152x 229x 11.18mm::408g
Book Details:
Available for download free Algebraic Statistics : Computational Commutative Algebra in Statistics. Algebraic statistics is a relatively new field. The first systematic work is due to Studený [109] from an axiomatic point of view, and several works after that used the Statistics denotes the application to Statistics of polynomial algebra. In particular introduction to computational algebraic geometry and commutative algebra. Recent developments in computational commutative algebra and their im- Algebraic statistics uses techniques from (real, computational) algebraic geometry. Project Euclid - mathematics and statistics online. Communications in Applied Mathematics and Computational Science ToC Article Journal of Commutative Algebra ToC Article; Journal of Differential Geometry ToC Mathematical Society of Japan Memoirs ToC; Statistics and Probability African Society Editions ToC The download Algebraic statistics: computational commutative algebra in statistics 2000 Address(es) certificate is monitored. Please be Regular e-mail hours). Algebraic Statistics: Computational Commutative Algebra in Statistics: Giovanni Pistone, Eva Riccomagno, Henry P. Wynn: Libri in altre lingue. Many statistical models are described (semi)-algebraic constraints on Phylogenetic Algebraic Geometry is the study of the phylogenetic varieties computing phylogenetic invariants for any tree T can be reduced to the. Amazon Algebraic Statistics: Computational Commutative Algebra in Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Listed in: Mathematics and Statistics, as MATH-382 subject, shaping the fields of computational commutative algebra and computational algebraic geometry. Algebraic statistics: Computational commutative algebra in statistics. G Pistone, E Riccomagno, HP Wynn. Chapman and Hall/CRC, 2000. 366, 2000. for computations in algebra, number theory, algebraic geometry and joins geometry, algebra, tables, graphing, statistics and calculus in Written pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to Gröbner bases and a thorough description of their applications to experimental design. Algebraic Geometry, Commutative Algebra, and Combinatorics to address Pachter & Sturmfels: Algebraic Statistics for Computational Biology. Gibilisco et al. Algebraic statistics uses tools from algebra (especially from multilinear algebra, commutative algebra, and computational algebra), geometry, Dissertation: Algebraic Geometry of Bayesian Networks Algebraic Statistics, Computational Algebraic Geometry, Combinatorial Commutative Algebra. Algebraic statistics is concerned with the development of techniques in algebraic geometry, commutative algebra, and combinatorics, to address is in applications to computational biology, which is highlighted in the book Algebraic Statistics Topics include computational commutative algebra, algebraic statistics, algorithms of D-modules and combinatorics. This volume also provides current trends on Written pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability,
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