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Annals of Applied Statistics |
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Volume 1, Number 1 (2007) |
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Volume 1, Number 2 (2007) |
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Volume 2, Number 1 (2008) |
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Volume 2, Number 2 (2008) |
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Volume 2, Number 3 (2008) |
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Volume 2, Number 4 (2008) |
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Volume 3, Number 1 (2009) |
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Volume 3, Number 2 (2009) |
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Volume 3, Number 3 (2009) |
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Volume 3, Number 4 (2009) |
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Volume 4, Number 1 (2010) |
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Volume 4, Number 2 (2010) |
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Volume 4, Number 3 (2010) |
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Volume 4, Number 4 (2010) |
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Volume 5, Number 1 (2011) |
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Volume 5, Number 2a (2011) |
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Volume 5, Number 2b (2011) |
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Volume 5, Number 3 (2011) |
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Volume 5, Number 4 (2011) |
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Future Issues |
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A study of Pre-Validation
Holger Hoefling and Robert Tibshirani
Volume 2 Issue 2, pg. 643-664
Supplements
Bayesian Models to Adjust for Response Bias in Survey Data: An Example in Estimating Rape and Domestic Violence Rates from the NCVS
Qingzhao Yu, Elizabeth A, Stasny, and Bin Li
Volume 2 Issue 2, pg. 665-686
Supplements
Unsupervised empirical Bayesian multiple testing with external covariates
Egil Ferkingstad, Arnoldo Frigessi, Håvard Rue, Gudmar Thorleifsson, and Augustine Kong
Volume 2 Issue 2, pg. 714-735
Supplements
Gamma Shape Mixtures for Heavy-tailed Distributions
Sergio Venturini, Francesca Dominici, and Giovanni Parmigiani
Volume 2 Issue 2, pg. 756-776
Supplements
| Title |
Gamma shape mixture |
| Description |
This package implements a Bayesian approach for estimation of a mixture of
gamma distributions in which the mixing occurs over the shape parameter.
This family provides a flexible and novel approach for modeling heavy-tailed distributions,
it is computationally efficient, and it only requires to specify a
prior distribution for a single parameter.
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| DOI |
10.1214/08-AOAS156SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/156/supplement |
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