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disciplinas:ce718 [2011/06/07 19:16]
paulojus
disciplinas:ce718 [2011/07/16 20:15]
fernandomayer [section 11]
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 <​bibtex>​ <​bibtex>​
 +@book{robert_introducing_2009,​
 + edition = {1},
 + title = {Introducing Monte Carlo Methods with R},
 + isbn = {9781441915757},​
 + publisher = {Springer Verlag},
 + author = {Christian P. Robert and George Casella},
 + month = dec,
 + year = {2009}
 +},
 +
 +
 +@book{gamerman_markov_2006,​
 + edition = {2},
 + title = {Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition},
 + isbn = {1584885874},​
 + shorttitle = {Markov Chain Monte Carlo},
 + publisher = {Chapman and {Hall/​CRC}},​
 + author = {Dani Gamerman and Hedibert F. Lopes},
 + month = may,
 + year = {2006}
 +},
  
 @book{albert_bayesian_2009,​ @book{albert_bayesian_2009,​
Linha 81: Linha 102:
 }, },
  
-@book{gamerman_markov_2006,​ 
- edition = {2}, 
- title = {Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition}, 
- isbn = {1584885874},​ 
- shorttitle = {Markov Chain Monte Carlo}, 
- publisher = {Chapman and {Hall/​CRC}},​ 
- author = {Dani Gamerman and Hedibert F. Lopes}, 
- month = may, 
- year = {2006} 
-}, 
  
 @book{robert_monte_2004,​ @book{robert_monte_2004,​
Linha 111: Linha 122:
  year = {2006}  year = {2006}
 } }
 +
 +
 +@book{gentle_handbook_2004,​
 + edition = {1},
 + title = {Handbook of Computational Statistics},​
 + isbn = {3540404643},​
 + publisher = {Springer},
 + author = {{J.E.} Gentle and Wolfgang {HSrdle}},
 + month = aug,
 + year = {2004}
 +},
 +
 +@book{kroese_handbook_2011,​
 + edition = {1},
 + title = {Handbook of Monte Carlo Methods},
 + isbn = {9780470177938},​
 + publisher = {Wiley},
 + author = {Dirk P. Kroese and Thomas Taimre and Zdravko I. Botev},
 + month = mar,
 + year = {2011}
 +},
 +
 +@book{suess_introduction_2010,​
 + edition = {1st Edition.},
 + title = {Introduction to Probability Simulation and Gibbs Sampling with R},
 + isbn = {{038740273X}},​
 + publisher = {Springer},
 + author = {Eric A. Suess and Bruce E. Trumbo},
 + month = jun,
 + year = {2010}
 +},
 +
 +@book{kalos_monte_2008,​
 + edition = {2},
 + title = {Monte Carlo Methods},
 + isbn = {{352740760X}},​
 + publisher = {{Wiley-VCH}},​
 + author = {Malvin H. Kalos and Paula A. Whitlock},
 + month = nov,
 + year = {2008}
 +},
 +
 +@book{monahan_numerical_2011,​
 + edition = {2},
 + title = {Numerical Methods of Statistics},​
 + isbn = {0521139511},​
 + publisher = {Cambridge University Press},
 + author = {John F. Monahan},
 + month = apr,
 + year = {2011}
 +},
 +
 +@book{gentle_random_2003,​
 + edition = {2nd},
 + title = {Random Number Generation and Monte Carlo Methods},
 + isbn = {0387001786},​
 + publisher = {Springer},
 + author = {James E. Gentle},
 + month = jun,
 + year = {2003}
 +}
 +
 </​bibtex>​ </​bibtex>​
  
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 [[disciplinas:​ce718:​aberto2011|Página aberta]] para edição pelos participantes do curso. [[disciplinas:​ce718:​aberto2011|Página aberta]] para edição pelos participantes do curso.
 +
 +===== Links =====
 +
 +  * {{http://​www.stats.ox.ac.uk/​~steffen/​teaching/​bs2HT9/​laplace.pdf|Laplace'​s Method of Integration - Ste en Lauritzen}};​
 +  * {{http://​www.stanford.edu/​~mch/​harding-hausman-laplace.pdf|Using a Laplace Approximation to Estimate the Random Coefficients Logit Model by Non-linear Least Squares}};
 +  * {{http://​www.cemmap.ac.uk/​wps/​cwp0601.pdf|USING A LAPLACE APPROXIMATION TO ESTIMATE THE RANDOM COEFFICIENTS LOGIT MODEL BY NON-LINEAR LEAST SQUARES}};
 +  * {{http://​www.cs.berkeley.edu/​~jordan/​courses/​260-spring10/​lectures/​lecture16.pdf|Laplace approximation review}};
 +  * {{http://​www.cs.toronto.edu/​~mackay/​itprnn/​ps/​343.344.pdf|Laplace'​s Method}};
 +  * {{http://​www.ece.rice.edu/​~vc3/​elec633/​graphical_models_notes_091108.pdf|Laplace Approximation}};​
 +  * {{http://​galton.uchicago.edu/​~pmcc/​pubs/​paper26.pdf|Laplace approximation of high dimensional integrals}};​
 +  * {{http://​support.sas.com/​documentation/​cdl/​en/​statug/​63347/​HTML/​default/​viewer.htm#​statug_glimmix_a0000001432.htm|Maximum Likelihood Estimation Based on Laplace Approximation}};​
 +  * {{http://​statmath.wu.ac.at/​research/​talks/​resources/​MultIRT.pdf|Fitting Multidimensional Latent Variable Models using an Efficient Laplace Approximation}};​
 +  * {{http://​prin08.uniud.it/​tl_files/​prin08/​upload/​papers/​2010_3.pdf|LAPLACE APPROXIMATION IN MEASUREMENT ERROR MODELS}};
 +  * {{http://​www.unc.edu/​~vangelis/​files/​sglmmlapl.pdf|Asymptotic inference for Spatial GLMM using high order Laplace approximation}};​
 +  * {{http://​www.jstor.org/​pss/​1390617}};​
 +  * {{http://​digitalcommons.unl.edu/​cgi/​viewcontent.cgi?​article=1003&​context=statisticsdiss&​sei-redir=1#​search=%22laplace%20approximation%20integral%22|FULLY EXPONENTIAL LAPLACE APPROXIMATION EM ALGORITHM FOR NONLINEAR MIXED EFFECTS MODELS}};
 +  * {{http://​proquest.umi.com/​pqdlink?​Ver=1&​Exp=07-02-2016&​FMT=7&​DID=1188875391&​RQT=309&​attempt=1&​cfc=1|Applications of Laplace approximation for hierarchical generalized linear models in educational research}};
 +  * {{http://​people.math.aau.dk/​~rw/​Undervisning/​Topics/​Handouts/​6.hand.pdf|Computation of the likelihood function for GLMMs}};
 +  * {{http://​www.ansci.wisc.edu/​morota/​beamer/​computing.pdf|Computing:​ Generalized,​ Linear, and Mixed Models}};
 +  * {{http://​jmlr.csail.mit.edu/​papers/​volume12/​cseke11a/​cseke11a.pdf|Approximate Marginals in Latent Gaussian Models}};
 +  * {{http://​biowww.dfci.harvard.edu/​~yili/​spa1.pdf|Modeling Spatial Survival Data Using Semiparametric Frailty Models}};
 +  * {{http://​actuaryzhang.com/​seminar/​topic5_mcmc.pdf|Markov Chain Monte Carlo Methods}};
 +  * 8-O{{http://​dirk.eddelbuettel.com/​blog/​2011/​07/​05/#​rcppeigen_introduction|Even faster linear model fits with R using RcppEigen}};​
 +  * {{http://​dirk.eddelbuettel.com/​blog/​2011/​07/​14/#​rcpp_gibbs_example|MCMC and faster Gibbs Sampling using Rcpp}};
 +  * {{http://​darrenjw.wordpress.com/​2011/​07/​16/​gibbs-sampler-in-various-languages-revisited|Gibbs sampler in various languages (revisited)}};​
  

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