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disciplinas:ce718 [2011/08/03 16:59]
walmes [section 11]
disciplinas:ce718 [2011/09/27 10:15]
walmes
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   * {{http://​darrenjw.wordpress.com/​2011/​07/​16/​gibbs-sampler-in-various-languages-revisited|Gibbs sampler in various languages (revisited)}};​   * {{http://​darrenjw.wordpress.com/​2011/​07/​16/​gibbs-sampler-in-various-languages-revisited|Gibbs sampler in various languages (revisited)}};​
  
-== Cabeçalho de nível 5 ==+== Métodos Monte Carlo ==
   * {{http://​elsa.berkeley.edu/​reprints/​misc/​understanding.pdf|Understanding the Metropolis-Hastings Algorithm}};​   * {{http://​elsa.berkeley.edu/​reprints/​misc/​understanding.pdf|Understanding the Metropolis-Hastings Algorithm}};​
   * {{http://​www.econ.upenn.edu/​~jesusfv/​LectureNotes_7_MH|Metropolis-Hasting Algorithm - Jesús Fernández-Villaverde}};​   * {{http://​www.econ.upenn.edu/​~jesusfv/​LectureNotes_7_MH|Metropolis-Hasting Algorithm - Jesús Fernández-Villaverde}};​
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   * {{http://​www.maths.manchester.ac.uk/​~pneal/​CIS/​CIS2007.html|Computationally Intensive Statistics 2010/​2011}};​   * {{http://​www.maths.manchester.ac.uk/​~pneal/​CIS/​CIS2007.html|Computationally Intensive Statistics 2010/​2011}};​
   * {{http://​www.maths.manchester.ac.uk/​~pneal/​statscomp.html|Statistical Computing 2010/​2011}};​   * {{http://​www.maths.manchester.ac.uk/​~pneal/​statscomp.html|Statistical Computing 2010/​2011}};​
 +  * {{http://​www.lisa.stat.vt.edu/?​q=node/​1784|Bayesian Methods for Regression in R - Nels Johnson}};
  
 +== Algorítmo EM ==
 +  * [[http://​www.leg.ufpr.br/​~paulojus/​EM|Link para diversos artigos e materiais sobre EM]]
 +  * Outros em modelos não lineares:
 +    * [[http://​www.jstor.org/​stable/​2533054|Walker]]:​ An EM Algorithm for Nonlinear Random Effects Models
 +    * [[http://​bmsr.usc.edu/​Core%20Research/​dzd/​6614.pdf|Wang et al.]]: Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
 +    * [[http://​dl.acm.org/​citation.cfm?​id=1225091|Wang]]:​ EM algorithms for nonlinear mixed effects models
 +    * [[http://​fedc.wiwi.hu-berlin.de/​xplore/​ebooks/​html/​csa/​node45.html|material online]]
 +
 +== Reversible Jump ==
 +  * {{http://​www.scielo.br/​pdf/​cagro/​v33n4/​a17v33n4.pdf|Uma abordagem bayesiana para o mapeamento de QTLS utilizando o método MCMC com saltos reversíveis}};​
 +  * {{http://​paul.troughton.org/​publications/​ar_rev.pdf|A Reversible Jump Sampler for Autoregressive Time Series Employing Full Conditionals to Achieve Effcient Model Space Moves}};
 +  * {{http://​classes.soe.ucsc.edu/​bme280b/​Spring04/​journalClubArticleApr30BernardSuh.pdf|Bayesian Phylogenetic Model Selection Using Reversible Jump Markov Chain Monte Carlo}};
 +  * {{http://​homepages.ecs.vuw.ac.nz/​~sergio/​talks/​rjmcmc.pdf|A tutorial on Bayesian inference for variable dimension models}};
 +  * {{http://​www.people.fas.harvard.edu/​~spirling/​documents/​TASproof.pdf|"​Turning Points"​ in the Iraq Conflict: Reversible Jump Markov Chain Monte Carlo in Political Science}};
 +  * {{http://​www.est.ufpr.br/​rt/​ehlb02.pdf|Efficient Construction of Reversible Jump MCMC Proposals for Autoregressive Time Series Models}};
 +  * {{http://​faculty.chicagobooth.edu/​hedibert.lopes/​teaching/​BayesianEconometrics/​rjmcmc.pdf|A note on Reversible Jump Markov Chain Monte Carlo}};
 +  * {{http://​www.bioss.ac.uk/​~dirk/​talks/​rjmcmc_jc_mar05.pdf|Reversible Jump MCMC}};
 +  * {{http://​www.maths.bris.ac.uk/​~mapjg/​papers/​RJMCMCBka.pdf|Reversible jump Markov chain Monte Carlo computation and Bayesian model determination}};​
 +  * {{http://​www.dcs.gla.ac.uk/​inference/​SERRS/​Code.html|Code for Reversible Jump MCMC and related experiments}};​
 +  * {{http://​www.kev-smith.com/​tutorial/​rjmcmc.php|RJMCMC Tutorial}};
  

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