Quasi-Monte Carlo method in population genetics parameter estimation

DOI10.1016/j.matcom.2014.02.005OpenAlexW2093485376WikidataQ60231604 ScholiaQ60231604MaRDI QIDQ2229882

Hongmei Chi, Peter Beerli

Publication date: 18 February 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2014.02.005

zbMATH Keywords

population geneticsquasi-Monte Carlophylogeneticscoalescence theorycompletely uniformly distributed sequences

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Numerical analysis (65-XX)

Uses Software

• TOMS659

Cites Work

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• A vectorized method of importance sampling with applications to models of mutation and migration
• The coalescent
• Mathematical population genetics. I: Theoretical introduction.
• The effective dimension and quasi-Monte Carlo integration
• Generating parallel quasirandom sequences via randomization
• On the optimal Halton sequence
• Parallel quasirandom number generations for heterogeneous computing environments
• Algorithm 659
• Generating Quasi-Random Paths for Stochastic Processes
• A Quasi-Monte Carlo Scheme Using Nets for a Linear Boltzmann Equation
• A quasi-Monte Carlo Metropolis algorithm

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