![Computational statistics / Probability and statistics / Markov models / Markov processes / Metropolis–Hastings algorithm / Markov chain / Gibbs sampling / Itō diffusion / Bayesian inference in phylogeny / Statistics / Monte Carlo methods / Markov chain Monte Carlo Computational statistics / Probability and statistics / Markov models / Markov processes / Metropolis–Hastings algorithm / Markov chain / Gibbs sampling / Itō diffusion / Bayesian inference in phylogeny / Statistics / Monte Carlo methods / Markov chain Monte Carlo](https://www.pdfsearch.io/img/3d7a1d52049b502f73ba1765fc05f803.jpg) Date: 2015-02-23 13:52:48Computational statistics Probability and statistics Markov models Markov processes Metropolis–Hastings algorithm Markov chain Gibbs sampling Itō diffusion Bayesian inference in phylogeny Statistics Monte Carlo methods Markov chain Monte Carlo | | Part A Simulation and Statistical Programming HT 2015 Problem Sheet 3 due Week 7 Tuesday 10am 1. (a) Give a Metropolis-Hastings algorithm to sample according to the Gamma probability density function, p(x) ∝ xα−1 exAdd to Reading ListSource URL: www.stats.ox.ac.ukDownload Document from Source Website File Size: 116,69 KBShare Document on Facebook
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