A novel spectral method for inferring general diploid selection from time series genetic data

DOI10.1214/14-AOAS764zbMath1454.62405arXiv1310.1068WikidataQ30884878 ScholiaQ30884878MaRDI QIDQ2258572

Anand Bhaskar, Matthias Steinrücken, Yun S. Song

Publication date: 26 February 2015

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.1068

zbMATH Keywords

hidden Markov modelpopulation geneticsspectral methodtransition density function

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Related Items

Modifying the chi-square and the CMH test for population genetic inference: adapting to overdispersion, Eigenfunctions and the Dirichlet Problem for the Classical Kimura Diffusion Operator, Evaluating genetic drift in time-series evolutionary analysis, Inference in population genetics using forward and backward, discrete and continuous time processes, A novel spectral method for inferring general diploid selection from time series genetic data, Inference from the stationary distribution of allele frequencies in a family of Wright-Fisher models with two levels of genetic variability, Exact simulation of coupled Wright–Fisher diffusions

Cites Work

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• Non-equilibrium allele frequency spectra via spectral methods