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Information Geometry and Population Genetics : The Mathematical Structure of the Wright-Fisher Model / by Julian Hofrichter, Jürgen Jost, Tat Dat Tran.

Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International Available online

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Format:
Book
Author/Creator:
Hofrichter, Julian., Author.
Jost, Jürgen., Author.
Tran, Tat Dat., Author.
Series:
Understanding Complex Systems, 1860-0840
Language:
English
Subjects (All):
Biomathematics.
Statistics.
Medical genetics.
Mathematical analysis.
Geometry.
Probabilities.
Mathematical and Computational Biology.
Statistical Theory and Methods.
Medical Genetics.
Analysis.
Probability Theory.
Local Subjects:
Mathematical and Computational Biology.
Statistical Theory and Methods.
Medical Genetics.
Analysis.
Geometry.
Probability Theory.
Physical Description:
1 online resource (XII, 320 p. 3 illus., 2 illus. in color.)
Edition:
1st ed. 2017.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
Summary:
The present monograph develops a versatile and profound mathematical perspective of the Wright--Fisher model of population genetics. This well-known and intensively studied model carries a rich and beautiful mathematical structure, which is uncovered here in a systematic manner. In addition to approaches by means of analysis, combinatorics and PDE, a geometric perspective is brought in through Amari's and Chentsov's information geometry. This concept allows us to calculate many quantities of interest systematically; likewise, the employed global perspective elucidates the stratification of the model in an unprecedented manner. Furthermore, the links to statistical mechanics and large deviation theory are explored and developed into powerful tools. Altogether, the manuscript provides a solid and broad working basis for graduate students and researchers interested in this field.
Contents:
1. Introduction
2. The Wright–Fisher model
3. Geometric structures and information geometry
4. Continuous approximations
5. Recombination
6. Moment generating and free energy functionals
7. Large deviation theory
8. The forward equation
9. The backward equation
10.Applications
Appendix
A. Hypergeometric functions and their generalizations
Bibliography.
Notes:
Includes bibliographical references and index.
ISBN:
3-319-52045-8
OCLC:
974463474

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