000 | 03237nam a22005295i 4500 | ||
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001 | 978-3-642-16632-7 | ||
003 | DE-He213 | ||
005 | 20190213151323.0 | ||
007 | cr nn 008mamaa | ||
008 | 110104s2011 gw | s |||| 0|eng d | ||
020 |
_a9783642166327 _9978-3-642-16632-7 |
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024 | 7 |
_a10.1007/978-3-642-16632-7 _2doi |
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_a576.58 _223 |
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100 | 1 |
_aEtheridge, Alison. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aSome Mathematical Models from Population Genetics _h[electronic resource] : _bÉcole d'Été de Probabilités de Saint-Flour XXXIX-2009 / _cby Alison Etheridge. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
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300 |
_aVIII, 119 p. 15 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aÉcole d'Été de Probabilités de Saint-Flour, _x0721-5363 ; _v2012 |
|
520 | _aThis work reflects sixteen hours of lectures delivered by the author at the 2009 St Flour summer school in probability. It provides a rapid introduction to a range of mathematical models that have their origins in theoretical population genetics. The models fall into two classes: forwards in time models for the evolution of frequencies of different genetic types in a population; and backwards in time (coalescent) models that trace out the genealogical relationships between individuals in a sample from the population. Some, like the classical Wright-Fisher model, date right back to the origins of the subject. Others, like the multiple merger coalescents or the spatial Lambda-Fleming-Viot process are much more recent. All share a rich mathematical structure. Biological terms are explained, the models are carefully motivated and tools for their study are presented systematically. | ||
650 | 0 |
_aGenetics _xMathematics. |
|
650 | 0 | _aDifferential equations, partial. | |
650 | 0 | _aStatistics. | |
650 | 1 | 4 |
_aGenetics and Population Dynamics. _0http://scigraph.springernature.com/things/product-market-codes/M31010 |
650 | 2 | 4 |
_aMathematical and Computational Biology. _0http://scigraph.springernature.com/things/product-market-codes/M31000 |
650 | 2 | 4 |
_aMathematical Modeling and Industrial Mathematics. _0http://scigraph.springernature.com/things/product-market-codes/M14068 |
650 | 2 | 4 |
_aPartial Differential Equations. _0http://scigraph.springernature.com/things/product-market-codes/M12155 |
650 | 2 | 4 |
_aStatistics for Life Sciences, Medicine, Health Sciences. _0http://scigraph.springernature.com/things/product-market-codes/S17030 |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642166310 |
776 | 0 | 8 |
_iPrinted edition: _z9783642166334 |
830 | 0 |
_aÉcole d'Été de Probabilités de Saint-Flour, _x0721-5363 ; _v2012 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-642-16632-7 |
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912 | _aZDB-2-LNM | ||
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