1![CS168: The Modern Algorithmic Toolbox Lecture #14: Markov Chain Monte Carlo Tim Roughgarden & Gregory Valiant∗ May 11, 2016 The previous lecture covered several tools for inferring properties of the distribution that u CS168: The Modern Algorithmic Toolbox Lecture #14: Markov Chain Monte Carlo Tim Roughgarden & Gregory Valiant∗ May 11, 2016 The previous lecture covered several tools for inferring properties of the distribution that u](https://www.pdfsearch.io/img/38f4e54df262deb725c14047ca70ca5e.jpg) | Add to Reading ListSource URL: theory.stanford.eduLanguage: English - Date: 2016-06-04 09:49:43
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2![Theoretical Computer Science–118 www.elsevier.com/locate/tcs A few logs suce to build (almost) all trees: Part II Peter L. Erd˝osa;∗ , Michael A. Steelb , Laszlo A. Szekelyc , Theoretical Computer Science–118 www.elsevier.com/locate/tcs A few logs suce to build (almost) all trees: Part II Peter L. Erd˝osa;∗ , Michael A. Steelb , Laszlo A. Szekelyc ,](https://www.pdfsearch.io/img/838f05fd77c9fb118299271999cd819e.jpg) | Add to Reading ListSource URL: www.cs.utexas.eduLanguage: English - Date: 2000-08-25 17:14:05
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4![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 ex 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 ex](https://www.pdfsearch.io/img/3d7a1d52049b502f73ba1765fc05f803.jpg) | Add to Reading ListSource URL: www.stats.ox.ac.ukLanguage: English - Date: 2015-02-23 13:52:48
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5![Title of Course: Bayesian Biostatistics II (Jan – Apr[removed]A. Course Description This will be an introductory course on Bayesian statistics and methods, with a particular focus on Bayesian hierarchical models for cor Title of Course: Bayesian Biostatistics II (Jan – Apr[removed]A. Course Description This will be an introductory course on Bayesian statistics and methods, with a particular focus on Bayesian hierarchical models for cor](https://www.pdfsearch.io/img/72f2b145b1d56f0197f15de5ea973550.jpg) | Add to Reading ListSource URL: med-fom-spph.sites.olt.ubc.caLanguage: English - Date: 2014-09-05 12:03:37
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6![](https://www.pdfsearch.io/img/87d7dbe73e0c27435eefeee45979125e.jpg) | Add to Reading ListSource URL: ahsu.psychol.ucl.ac.ukLanguage: English - Date: 2012-01-09 14:25:14
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7![Efficient Inference in Phylogenetic InDel Trees Alexandre Bouchard-Côté Michael I. Jordan Dan Klein Computer Science Division University of California at Berkeley c: Efficient Inference in Phylogenetic InDel Trees Alexandre Bouchard-Côté Michael I. Jordan Dan Klein Computer Science Division University of California at Berkeley c:](https://www.pdfsearch.io/img/52384f7cbc36ba105f0ee7f9be3b5e04.jpg) | Add to Reading ListSource URL: www.stat.ubc.caLanguage: English - Date: 2011-11-06 12:06:18
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8![Syst. Biol. 61(4):579–593, 2012 c The Author(s[removed]Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. This is an Open Access article distributed under the t Syst. Biol. 61(4):579–593, 2012 c The Author(s[removed]Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. This is an Open Access article distributed under the t](https://www.pdfsearch.io/img/6bf1fbefda65b0045be3573260cf9402.jpg) | Add to Reading ListSource URL: sysbio.oxfordjournals.orgLanguage: English |
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9![ORIGINAL ARTICLE doi:[removed]j[removed]00414.x ESTIMATING SPECIES TREES USING MULTIPLE-ALLELE DNA SEQUENCE DATA Liang Liu,1,2,3 Dennis K. Pearl,4,5 Robb T. Brumfield,6,7,8 and Scott V. Edwards1,9 ORIGINAL ARTICLE doi:[removed]j[removed]00414.x ESTIMATING SPECIES TREES USING MULTIPLE-ALLELE DNA SEQUENCE DATA Liang Liu,1,2,3 Dennis K. Pearl,4,5 Robb T. Brumfield,6,7,8 and Scott V. Edwards1,9](https://www.pdfsearch.io/img/e0b41413cff5d4d9a6a8048bdf04c3a7.jpg) | Add to Reading ListSource URL: www.oeb.harvard.eduLanguage: English - Date: 2008-09-06 12:28:54
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10![Tempering for Bayesian C&RT Nicos Angelopoulos [removed] James Cussens [removed] Tempering for Bayesian C&RT Nicos Angelopoulos [removed] James Cussens [removed]](https://www.pdfsearch.io/img/be632524cee44071d85135a3b5b57260.jpg) | Add to Reading ListSource URL: www.machinelearning.orgLanguage: English - Date: 2008-12-01 11:14:12
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