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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



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Autore: Hofrichter Julian Visualizza persona
Titolo: Information Geometry and Population Genetics : The Mathematical Structure of the Wright-Fisher Model / / by Julian Hofrichter, Jürgen Jost, Tat Dat Tran Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XII, 320 p. 3 illus., 2 illus. in color.)
Disciplina: 576.58015118
Soggetto topico: Biomathematics
Statistics 
Human genetics
Mathematical analysis
Analysis (Mathematics)
Geometry
Probabilities
Mathematical and Computational Biology
Statistical Theory and Methods
Human Genetics
Analysis
Probability Theory and Stochastic Processes
Persona (resp. second.): JostJürgen
TranTat Dat
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Information Geometry and Population Genetics  Visualizza cluster
ISBN: 3-319-52045-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254291003321
Lo trovi qui: Univ. Federico II
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Serie: Understanding Complex Systems, . 1860-0832