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Population Genetics Models for the Statistics of dna Samples Under Different Demographic Scenarios---Maximum Likelihood Versus Approximate Methods
International Journal of Applied Mathematics and Computer Science, Tome 13 (2003) no. 3, pp. 347-355 Cet article a éte moissonné depuis la source Library of Science

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The paper reviews the basic mathematical methodology of modeling neutral genetic evolution, including the statistics of the Fisher-Wright process, models of mutation and the coalescence method under various demographic scenarios. The basic approach is the use of maximum likelihood techniques. However, due to computational problems, intuitive or approximate methods are also of great importance.
Keywords: DNA samples, demography, coalescence
Mots-clés : demografia, statystyka 
@article{IJAMCS_2003_13_3_a7,
     author = {Pola\'nski, A. and Kimmel, M.},
     title = {Population {Genetics} {Models} for the {Statistics} of dna {Samples} {Under} {Different} {Demographic} {Scenarios---Maximum} {Likelihood} {Versus} {Approximate} {Methods}},
     journal = {International Journal of Applied Mathematics and Computer Science},
     pages = {347--355},
     year = {2003},
     volume = {13},
     number = {3},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/IJAMCS_2003_13_3_a7/}
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Polański, A.; Kimmel, M. Population Genetics Models for the Statistics of dna Samples Under Different Demographic Scenarios---Maximum Likelihood Versus Approximate Methods. International Journal of Applied Mathematics and Computer Science, Tome 13 (2003) no. 3, pp. 347-355. http://geodesic.mathdoc.fr/item/IJAMCS_2003_13_3_a7/