Statistical inference and Monte Carlo algorithms | Zendy

George Casella | Zendy; Juan Ferrándiz | Zendy; Daniel Peña | Zendy; David Rı́os Insua | Zendy; José M. Bernardo | Zendy; Pedro García-López | Zendy; Antonio G. González | Zendy; James O. Berger | Zendy; A. P. Dawid | Zendy; Thomas J. DiCiccio | Zendy; Martin T. Wells | Zendy; Paul Gustafson | Zendy; L. H. Wasserman | Zendy; Edward I. George | Zendy; Jun S. Liu | Zendy; XiaoLi Meng | Zendy; Anne Philippe | Zendy; Joseph L. Schafer | Zendy; Robert L. Strawderman | Zendy

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Statistical inference and Monte Carlo algorithms

Author(s) -

George Casella,

Juan Ferrándiz,

Daniel Peña,

David Rı́os Insua,

José M. Bernardo,

Pedro García-López,

Antonio G. González,

James O. Berger,

A. P. Dawid,

Thomas J. DiCiccio,

Martin T. Wells,

Paul Gustafson,

L. H. Wasserman,

Edward I. George,

Jun S. Liu,

XiaoLi Meng,

Anne Philippe,

Joseph L. Schafer,

Robert L. Strawderman

Publication year - 1996

Publication title -

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Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.233

H-Index - 44

eISSN - 1863-8260

pISSN - 1133-0686

DOI - 10.1007/bf02562621

Subject(s) - monte carlo method , gibbs sampling , statistical inference , complement (music) , computer science , inference , algorithm , econometrics , mathematics , artificial intelligence , statistics , bayesian probability , biochemistry , chemistry , complementation , gene , phenotype

Markov Chain Monte Carlo, Gibbs sampling, Accept-reject algorithm, Rao-Blackwell theorem, Improper priors, Decision theory,

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