Zobrazeno 1 - 10
of 768
pro vyhledávání: '"Casella, George A."'
Publikováno v:
Statistical Science 2015, Vol. 30, No. 2, 228-241
Most of the consistency analyses of Bayesian procedures for variable selection in regression refer to pairwise consistency, that is, consistency of Bayes factors. However, variable selection in regression is carried out in a given class of regression
Externí odkaz:
http://arxiv.org/abs/1507.08041
Publikováno v:
Annals of Applied Statistics 2012, Vol. 6, No. 2, 432-456
Association testing aims to discover the underlying relationship between genotypes (usually Single Nucleotide Polymorphisms, or SNPs) and phenotypes (attributes, or traits). The typically large data sets used in association testing often contain miss
Externí odkaz:
http://arxiv.org/abs/1207.0280
Autor:
Casella, George, Hwang, J. T. Gene
Publikováno v:
Statistical Science 2012, Vol. 27, No. 1, 51-60
The possibility of improving on the usual multivariate normal confidence was first discussed in Stein (1962). Using the ideas of shrinkage, through Bayesian and empirical Bayesian arguments, domination results, both analytic and numerical, have been
Externí odkaz:
http://arxiv.org/abs/1203.4935
Autor:
Fuentes, Claudio, Casella, George
Publikováno v:
Statistical Science 2011, Vol. 26, No. 2, 288-290
Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang [arXiv:1108.3234]
Comment: Published in at http://dx.doi.org/10.1214/11-STS349A the Statistical Science (http://www.imstat.org/sts/) by th
Comment: Published in at http://dx.doi.org/10.1214/11-STS349A the Statistical Science (http://www.imstat.org/sts/) by th
Externí odkaz:
http://arxiv.org/abs/1108.3941
Publikováno v:
Annals of Statistics 2010, Vol. 38, No. 4, 1937-1952
In the class of normal regression models with a finite number of regressors, and for a wide class of prior distributions, a Bayesian model selection procedure based on the Bayes factor is consistent [Casella and Moreno J. Amer. Statist. Assoc. 104 (2
Externí odkaz:
http://arxiv.org/abs/1010.3821
Publikováno v:
Annals of Statistics 2010, Vol. 38, No. 2, 979-1009
We develop a new Gibbs sampler for a linear mixed model with a Dirichlet process random effect term, which is easily extended to a generalized linear mixed model with a probit link function. Our Gibbs sampler exploits the properties of the multinomia
Externí odkaz:
http://arxiv.org/abs/1002.4756
Autor:
Robert, Christian P., Casella, George
This is the solution manual to the odd-numbered exercises in our book "Introducing Monte Carlo Methods with R", published by Springer Verlag on December 10, 2009, and made freely available to everyone.
Comment: 87 pages, 11 figures
Comment: 87 pages, 11 figures
Externí odkaz:
http://arxiv.org/abs/1001.2906
Publikováno v:
Annals of Statistics 2009, Vol. 37, No. 3, 1207-1228
It has long been known that for the comparison of pairwise nested models, a decision based on the Bayes factor produces a consistent model selector (in the frequentist sense). Here we go beyond the usual consistency for nested pairwise models, and sh
Externí odkaz:
http://arxiv.org/abs/0904.2978
Autor:
Casella, George, Consonni, Guido
It is known that there is a dichotomy in the performance of model selectors. Those that are consistent (having the "oracle property") do not achieve the asymptotic minimax rate for prediction error. We look at this phenomenon closely, and argue that
Externí odkaz:
http://arxiv.org/abs/0903.3620
Autor:
Levine, Richard A., Casella, George
Publikováno v:
Statistical Science 2008, Vol. 23, No. 2, 192-195
Comment on ``On Random Scan Gibbs Samplers'' [arXiv:0808.3852]
Comment: Published in at http://dx.doi.org/10.1214/08-STS252B the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Comment: Published in at http://dx.doi.org/10.1214/08-STS252B the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Externí odkaz:
http://arxiv.org/abs/0808.3861