In defence of model‐based inference in phylogeography

In defence of model‐based inference in phylogeography

Source :

• Molecular Ecology [ 0962-1083 ] ; 2010-02.

Descripteurs français

• Wicri :
  • topic : écologie, Génétique, Simulation.

English descriptors

• KwdEn :
  • Alternative hypotheses, Alternative models, Analysing phylogeographic data, Approximate bayesian computation, Bayes factors, Bayesian, Bayesian computation, Bayesian inference, Bayesian methods, Bayesian model choice, Beaumont, Blackwell publishing, Blum francois, Cambridge university press, Carlo, Clade, Clade analysis, Clade phylogeographic analysis, Clade phylogeographical analysis, Coalescent, Coalescent theory, Coalescent time, Coalescent times, Data sets, Demographic event, Demographic events, Demographic history, Demographic scenarios, Different conclusions, Ecology, Empirical data, Empirical data sets, Evolutionary, Evolutionary biology, Evolutionary model, Evolutionary scenarios, Evolutionary variance, Explicit models, False positives, Gene trees, Genealogical events, Genetic data, Genetics, High rate, Human evolution, Human genetics, Hypothesis testing, Inference, Island model, Knowles, Knowles maddison, Lattice, Lattice model, Lattice size, Likelihood function, Likelihood ratio tests, Likelihood ratios, Locus, London wc1e, Marginal likelihood, Marjoram, Markov chain monte carlo, Migration rates, Model choice, Model parameters, Model selection, Modelbased inference, Molecular biology, Molecular ecology, Molecular evolution, More loci, Multilocus ncpa, Multiple loci, Multiple processes, Mutational processes, National academy, Nature reviews genetics, Ncpa, Ncpa inferences, Ncpa procedure, Nielsen beaumont, Null hypothesis, Null hypothesis testing, Null models, Other authors, Panchal, Panchal beaumont, Parameter, Parameter estimation, Parameter inference, Parameter space, Parameter values, Phylogeographic, Phylogeographic data, Phylogeographic hypotheses, Phylogeographic inferences, Phylogeography, Population genetics, Population structure, Positive controls, Posterior distribution, Posterior distributions, Relative merits, Same inference, Sample size, Sample sizes, Sampling error, Scenario, Sequence data, Sequential monte carlo, Simulation, Single loci, Single locus, Species trees, Standard coalescent, Stationary panmictic population, Statistic, Statistical framework, Statistical inference, Statistical phylogeography, Statistical procedure, Statistical validity, Stone model, Strong inference, Summary statistic, Summary statistics, Tavare, Templeton, Unexpected discoveries, University college london, Vicariance events, Weak inference, Wrong inferences.
• Teeft :
  • Alternative hypotheses, Alternative models, Analysing phylogeographic data, Approximate bayesian computation, Bayes factors, Bayesian, Bayesian computation, Bayesian inference, Bayesian methods, Bayesian model choice, Beaumont, Blackwell publishing, Blum francois, Cambridge university press, Carlo, Clade, Clade analysis, Clade phylogeographic analysis, Clade phylogeographical analysis, Coalescent, Coalescent theory, Coalescent time, Coalescent times, Data sets, Demographic event, Demographic events, Demographic history, Demographic scenarios, Different conclusions, Ecology, Empirical data, Empirical data sets, Evolutionary, Evolutionary biology, Evolutionary model, Evolutionary scenarios, Evolutionary variance, Explicit models, False positives, Gene trees, Genealogical events, Genetic data, Genetics, High rate, Human evolution, Human genetics, Hypothesis testing, Inference, Island model, Knowles, Knowles maddison, Lattice, Lattice model, Lattice size, Likelihood function, Likelihood ratio tests, Likelihood ratios, Locus, London wc1e, Marginal likelihood, Marjoram, Markov chain monte carlo, Migration rates, Model choice, Model parameters, Model selection, Modelbased inference, Molecular biology, Molecular ecology, Molecular evolution, More loci, Multilocus ncpa, Multiple loci, Multiple processes, Mutational processes, National academy, Nature reviews genetics, Ncpa, Ncpa inferences, Ncpa procedure, Nielsen beaumont, Null hypothesis, Null hypothesis testing, Null models, Other authors, Panchal, Panchal beaumont, Parameter, Parameter estimation, Parameter inference, Parameter space, Parameter values, Phylogeographic, Phylogeographic data, Phylogeographic hypotheses, Phylogeographic inferences, Phylogeography, Population genetics, Population structure, Positive controls, Posterior distribution, Posterior distributions, Relative merits, Same inference, Sample size, Sample sizes, Sampling error, Scenario, Sequence data, Sequential monte carlo, Simulation, Single loci, Single locus, Species trees, Standard coalescent, Stationary panmictic population, Statistic, Statistical framework, Statistical inference, Statistical phylogeography, Statistical procedure, Statistical validity, Stone model, Strong inference, Summary statistic, Summary statistics, Tavare, Templeton, Unexpected discoveries, University college london, Vicariance events, Weak inference, Wrong inferences.

Abstract

• https://api.istex.fr/document/18F515882323544978639DC601BCE79820E136D2/fulltext/pdf

Affiliations:

• Allemagne, Australie, Brésil, Finlande, France, Royaume-Uni, Suisse, États-Unis
• Angleterre, Auvergne-Rhône-Alpes, Californie, Canton de Berne, Canton de Vaud, Floride, Grand Londres, Michigan, Midi-Pyrénées, New Jersey, Nouvelle-Galles du Sud, Occitanie (région administrative), Rhône-Alpes, Rio Grande do Sul, Uusimaa, État de New York, Île-de-France
• Berne, GRENOBLE, Grenoble, Helsinki, Lausanne, Londres, New Brunswick (New Jersey), Paris, Porto Alegre, Sydney, Toulouse
• University College de Londres, Université Joseph Fourier, Université Rutgers, Université d'Helsinki, Université fédérale du Rio Grande do Sul

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