|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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
| Title |
R-code of EMB algorithm to adjust for response bias
in NCVS data for estimating rape and domestic violence rates
|
| Author |
Qingzhao Yu, Elizabeth A, Stasny, and Bin Li |
| Type |
.txt |
| Description |
N/A |
| DOI |
10.1214/08-AOAS160SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/160/Rcode.txt
|
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
| Title |
Unsupervised empirical Bayesian multiple testing with external
covariates
|
| Author |
Egil Ferkingstad, Arnoldo Frigessi, Håvard Rue, Gudmar Thorleifsson, and Augustine Kong |
| Type |
.pdf |
| Description |
N/A |
| DOI |
10.1214/08-AOAS158SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/158/supplement.pdf |
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 |
| Author |
Sergio Venturini |
| Type |
.txt |
| 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.
|
| DOI |
10.1214/08-AOAS156SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/156/supplement |
|
|
|
|
|
|
|
