Markov chains for Monte Carlo tests of genetic equilibrium in multidimensional contingency tables

DOI10.1214/aos/1034276624zbMath0871.62094OpenAlexW2075123935WikidataQ58743975 ScholiaQ58743975MaRDI QIDQ1355173

Laura C. Lazzeroni, Kenneth L. Lange

Publication date: 6 October 1997

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

Full work available at URL: https://doi.org/10.1214/aos/1034276624

zbMATH Keywords

order statisticsMarkov chainspopulation geneticslarge deviationsconditional distributionscontingency tableexact inferenceHardy-Weinberg equilibriumlinkage equilibriumindependent samplingrandom transpositionsembedding of Poisson processesestimating \(p\)-valuesstrong stationary stopping timestesting genetic equilibrium

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Genetics and epigenetics (92D10) Contingency tables (62H17)

Related Items

A chronology of fine-scale gene mapping by linkage disequilibrium, Most Powerful Permutation Invariant Tests for Relatedness Hypotheses Using Genotypic Data, Composition Markov chains of multinomial type, Algebraic algorithms for sampling from conditional distributions, Monte Carlo Algorithms for Hardy–Weinberg Proportions, Exact confidence regions for species assignment based on DNA markers

Uses Software

• AS 144

Cites Work

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