ASCI 869

MCMC Methods in Animal Breeding: A Primer

University of Nebraska-Lincoln · UGRD · Fall 2026

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Principles of Markov Chain Monte Carlo (MCMC) methods in animal breeding. Materials include random variable generation, Monte Carlo integration, stochastic search, Expectation-maximization (EM) algorithm and Monte Carlo EM, Markov Chain principles, Metropolis-Hastings algorithm, Gibbs sample, and MCMC for genomic data. Illustrations developed using R software.

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Class #nebraska_lincoln-ASCI869Fall 2026UGRD1 credits
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