Algebraic and Geometric Methods in Statistics

Algebraic and Geometric Methods in Statistics

Author: Paolo Gibilisco

Publisher: Cambridge University Press

Published: 2010

Total Pages: 447

ISBN-13: 0521896193

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An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines.


Algebraic Statistics for Computational Biology

Algebraic Statistics for Computational Biology

Author: L. Pachter

Publisher: Cambridge University Press

Published: 2005-08-22

Total Pages: 440

ISBN-13: 9780521857000

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This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology.


Algebraic Statistics

Algebraic Statistics

Author: Seth Sullivant

Publisher: American Mathematical Soc.

Published: 2018-11-19

Total Pages: 506

ISBN-13: 1470435179

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Algebraic statistics uses tools from algebraic geometry, commutative algebra, combinatorics, and their computational sides to address problems in statistics and its applications. The starting point for this connection is the observation that many statistical models are semialgebraic sets. The algebra/statistics connection is now over twenty years old, and this book presents the first broad introductory treatment of the subject. Along with background material in probability, algebra, and statistics, this book covers a range of topics in algebraic statistics including algebraic exponential families, likelihood inference, Fisher's exact test, bounds on entries of contingency tables, design of experiments, identifiability of hidden variable models, phylogenetic models, and model selection. With numerous examples, references, and over 150 exercises, this book is suitable for both classroom use and independent study.


Algebraic Methods in Statistics and Probability II

Algebraic Methods in Statistics and Probability II

Author: Marlos A. G. Viana

Publisher: American Mathematical Soc.

Published: 2010

Total Pages: 358

ISBN-13: 0821848917

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A decade after the publication of Contemporary Mathematics Vol. 287, the present volume demonstrates the consolidation of important areas, such as algebraic statistics, computational commutative algebra, and deeper aspects of graphical models. --


Algebraic and Geometric Methods in Discrete Mathematics

Algebraic and Geometric Methods in Discrete Mathematics

Author: Heather A. Harrington

Publisher: American Mathematical Soc.

Published: 2017-03-16

Total Pages: 290

ISBN-13: 1470423219

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This volume contains the proceedings of the AMS Special Session on Algebraic and Geometric Methods in Applied Discrete Mathematics, held on January 11, 2015, in San Antonio, Texas. The papers present connections between techniques from “pure” mathematics and various applications amenable to the analysis of discrete models, encompassing applications of combinatorics, topology, algebra, geometry, optimization, and representation theory. Papers not only present novel results, but also survey the current state of knowledge of important topics in applied discrete mathematics. Particular highlights include: a new computational framework, based on geometric combinatorics, for structure prediction from RNA sequences; a new method for approximating the optimal solution of a sum of squares problem; a survey of recent Helly-type geometric theorems; applications of representation theory to voting theory and game theory; a study of fixed points of tensors; and exponential random graph models from the perspective of algebraic statistics with applications to networks. This volume was written for those trained in areas such as algebra, topology, geometry, and combinatorics who are interested in tackling problems in fields such as biology, the social sciences, data analysis, and optimization. It may be useful not only for experts, but also for students who wish to gain an applied or interdisciplinary perspective.


Looking Back

Looking Back

Author: Neil J. Dorans

Publisher: Springer Science & Business Media

Published: 2011-07-15

Total Pages: 289

ISBN-13: 1441993894

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In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring his contributions to applied and theoretical psychometrics and statistics. Looking Back attracted a large audience that came to pay homage to Paul Holland and to hear presentations by colleagues who worked with him in special ways over those 40+ years. This book contains papers based on these presentations, as well as vignettes provided by Paul Holland before each section. The papers in this book attest to how Paul Holland's pioneering ideas influenced and continue to influence several fields such as social networks, causal inference, item response theory, equating, and DIF. He applied statistical thinking to a broad range of ETS activities in test development, statistical analysis, test security, and operations. The original papers contained in this book provide historical context for Paul Holland’s work alongside commentary on some of his major contributions by noteworthy statisticians working today.