On the use of kernel approximate Bayesian computation to infer population history-Reference-Cited by-同舟云学术

On the use of kernel approximate Bayesian computation to infer population history

Published:2015 Issue:3 Volume:90 Page:153-162
ISSN:1341-7568
Container-title:Genes & Genetic Systems
language:en
Short-container-title:Genes Genet. Syst.

Author:

Nakagome Shigeki¹²

Affiliation:

1. Department of Human Genetics, University of Chicago

2. School of Statistical Thinking, The Institute of Statistical Mathematics

Publisher

Genetics Society of Japan

Subject

Genetics,Molecular Biology,General Medicine

Link

https://www.jstage.jst.go.jp/article/ggs/90/3/90_153/_pdf

Reference60 articles.

1. Beaumont, M. A. (2008) Joint determination of topology, divergence time and immigration in population trees. In: Simulation, Genetics, and Human Prehistory, (eds.: Matsumura, S., Forster, P., and Renfrew, C.), pp. 135–154. McDonald Institute for Archaeological Research, Cambridge.

2. Beaumont, M. A. (2010) Approximate Bayesian computation in evolution and ecology. Annu. Rev. Ecol. Evol. Syst. 41, 379–406.

3. Beaumont, M. A., and Rannala, B. (2004) The Bayesian revolution in genetics. Nat. Rev. Genet. 5, 251–261.

4. Beaumont, M. A., Zhang, W., and Balding, D. J. (2002) Approximate Bayesian computation in population genetics. Genetics 162, 2025–2035.

5. Beaumont, M. A., Cornuet, J. M., Marin, J. M., and Robert, C. P. (2009) Adaptive approximate Bayesian computation. Biometrika 96, 983–990.

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