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Volume 1, Number 1 (2007)
Volume 1, Number 2 (2007)
Volume 2, Number 1 (2008)
Volume 2, Number 2 (2008)
Volume 2, Number 3 (2008)
Volume 2, Number 4 (2008)
Volume 3, Number 1 (2009)
Volume 3, Number 2 (2009)
Volume 3, Number 3 (2009)
Volume 3, Number 4 (2009)
Volume 4, Number 1 (2010)
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Bayesian variable selection using cost-adjusted BIC, with application to cost-effective measurement of quality of health care
Dimitris Fouskakis, Ioannis Ntzoufras, and David Draper
Volume 3 Issue 2, pg. 663-690

Supplements


Title Cost-based prior distributions for variable selection in generalized linear models
Author Dimitris Fouskakis, Ioannis Ntzoufras, and David Draper
Type .pdf
Description Imaginary data and power-prior motivation for the prior distribution in the main paper's equation (6) and details on RJMCMC and MC^3 implementation and utility elicitation.
DOI 10.1214/08-AOAS207SUPP
Link http://lib.stat.cmu.edu/aoas/207/supplement.pdf

A general likelihood framework for the Zelterman-estimator of the population size
Peter van der Heijden and Dankmar Boehning
Volume 3 Issue 2, pg. 595-610

Supplements


Title Computer programmes and illegal immigrant data
Author Peter van der Heijden and Dankmar Boehning
Type .zip
Description N/A
DOI 10.1214/08-AOAS214SUPP
Link http://lib.stat.cmu.edu/aoas/214/supplement.zip

Network exploration via the adaptive LASSO and SCAD penalties
Jianqing Fan, Yang Feng, and Yichao Wu
Volume 3 Issue 2, pg. 521-541

Supplements


Title Proof of Theorem
Author Christopher Joseph Paciorek, Jeff D. Yanosky, Robin C. Puett, Francine Laden, and Helen H. Suh
Type .pdf
Description We gave a detailed proof of the oracle properties for the adaptive lasso penalty as stated in Theorem.
DOI 10.1214/08-AOAS215SUPP
Link http://lib.stat.cmu.edu/aoas/215/supplement.pdf

Experimental Designs for Educational Studies with Responses at Multiple Levels
Brenda Jenney and Sharon Lohr
Volume 3 Issue 2, pg. 691-709

Supplements


Title Proof of information for student model when $\bD_i$ is balanced
Author Brenda Jenney and Sharon Lohr
Type .pdf
Description Proofs of equations eq:tr_d_with and eq:tr_d_without appear in a supplementary file posted at the journal website.
DOI 10.1214/08-AOAS216SUPPA
Link http://lib.stat.cmu.edu/aoas/216/supplementA.pdf

Title SAS program for simulation of anticipated variance
Author Brenda Jenney and Sharon Lohr
Type .zip
Description A SAS macro lets the user input simulation scenarios, including variance components, number of schools, number of teachers and students at each school, and contamination coefficient, then generates comparison graphs of the density of the anticipated variance for the three randomization designs under the teacher and student models, along with empirical power estimates.
DOI 10.1214/08-AOAS216SUPPB
Link http://lib.stat.cmu.edu/aoas/216/supplementB.zip

Estimating Limits From Poisson Counting Data Using Dempster-Shafer Analysis
Paul Thatcher Edlefsen, Chuanhai Liu, and Arthur Pentland Dempster
Volume 3 Issue 2, pg. 764-790

Supplements


Title A complete derivation of the DS solution to the Banff challenge
Author Paul Thatcher Edlefsen, Chuanhai Liu, and Arthur Pentland Dempster
Type .pdf
Description We provide a complete derivation of the Dempster--Shafer solution, including detail and special cases not covered in the \hyperref[app]{Appendix}.
DOI 10.1214/08-AOAS223SUPP
Link http://lib.stat.cmu.edu/aoas/223/supplement.pdf

A Hierarchical Dirichlet Process Mixture Model for Haplotype Reconstruction from Multi-Population Data
Eric Xing, and Kyung-Ah Sohn
Volume 3 Issue 2, pg. 791-821

Supplements


Title More results on sensitivity analysis and description of real data
Author Eric Xing, and Kyung-Ah Sohn
Type .pdf
Description We provide the sensitivity analysis result to the hyper-parameters of HDP on diverse dataset theta=0.05), and the details of the real data from 10 HapMap ENCODE regions used in Figure f_real.
DOI 10.1214/08-AOAS225SUPPB
Link http://lib.stat.cmu.edu/aoas/225/supplement.pdf

An Estimating Equations Approach to Fitting Laten Exposure Models with Longitudinal Responses
Brisa N Sanchez, Esben Budtz-Joergensen, and Louise M Ryan
Volume 3 Issue 2, pg. 830-856

Supplements


Title An estimating equations approach to fitting latent exposure models with longitudinal responses
Author Brisa N Sanchez, Esben Budtz-Joergensen, and Louise M Ryan
Type .pdf
Description We provide details on the simulation parameters referenced in Sections 5.1, 5.2 and 5.3. We also provide details on variance and relative efficiency calculations mentioned in Sections 4.2 and 5.2, respectively.
DOI 10.1214/08-AOAS226SUPPA
Link http://lib.stat.cmu.edu/aoas/226/supplement.pdf

Title An estimating equations approach to fitting latent exposure models with longitudinal responses
Author Brisa N Sanchez, Esben Budtz-Joergensen, and Louise M Ryan
Type .zip
Description This zipped folder contains several files with example code for the procedures described in this article. For specific details on the files, read the "readme.txt'" file found within this zipped folder.
DOI 10.1214/08-AOAS226SUPPB
Link http://lib.stat.cmu.edu/aoas/226/SupplementBCode.zip

Bayesball: A Bayesian Hierarchical Model for Evaluating Fielding in Major League Baseball
Shane T. Jensen, Kenny Shirley, and Abraham J. Wyner
Volume 3 Issue 2, pg. 491-520

Supplements


Title Gibbs sampling implementation
Author Shane T. Jensen, Kenny Shirley, and Abraham J. Wyner
Type .pdf
Description We provide details of our Markov chain Monte Carlo implementation, which is based on the Gibbs sampling GemGem84and the data augmentation approach of AlbChi93.
DOI 10.1214/08-AOAS228SUPP
Link http://lib.stat.cmu.edu/aoas/228/supplement.pdf

Latent Markov model for binary longitudinal data: an application to the performance evaluation of nursing homes
Francesco Bartolucci, Monia Lupparelli, and Giorgio Edoardo Montanari
Volume 3 Issue 1, pg. 611-636

Supplements


Title Matlab functions and dataset used in the application developed within the paper "Latent Markov model for binary longitudinal data: an application to the performance evaluation of nursing homes"
Author Shane T. Jensen, Kenny Shirley, and Abraham J. Wyner
Type .zip
Description The approach described in this paper has been implemented in a series of Matlab functions which are available from Bartolucci, Lupparelli and Montanari
DOI 10.1214/08-AOAS230SUPP
Link http://lib.stat.cmu.edu/aoas/230/supplement.zip

Prediction of Remaining Life of Power Transformers Based on Left Truncated and Right Censored Lifetime Data
Yili Hong, William Q. Meeker, and James D. McCalley
Volume 3 Issue 2, pg. 857-879

Supplements


Title Supplement to "Prediction of remaining life of power transformers based on left truncated and right censored lifetime data''
Author Yili Hong, William Q. Meeker, and James D. McCalley
Type .pdf
Description This supplement provides a description of the difficulties that we had in fitting a model to describe the failure behavior of the MD group data. The problems arise because of the large amount of truncation in this particular group.
DOI 10.1214/08-AOAS231SUPP
Link http://lib.stat.cmu.edu/aoas/231/supplement.pdf
   
 
 

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