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Annals of Applied Statistics |
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Supplement Instructions |
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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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Instructions for Referees |
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Letters to Editor |
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Changing approaches of prosecutors towards juvenile repeated sex-offenders: A Bayesian evaluation
Dipankar Bandyopadhyay, Debajyoti Sinha, Stuart Lipsitz, and Elizabeth Letourneau
Volume 4 Issue 2, pg. 805-829
Supplements
| Title |
Posterior computations and
code for "Changing approaches of prosecutors toward juvenile
repeated sex-offenders: A Bayesian evaluation"
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| Description |
The web supplement provides derivation of the
conditional posterior distributions as well as the associated code for the analysis.
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| DOI |
10.1214/09-AOAS295SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/295/supplement.pdf |
Statistical Inference of Transmission Fidelity of DNA Methylation Patterns Over Somatic Cell Divisions in Mammals
Audrey Qiuyan Fu, Diane P. Genereux, Brooks Miner, Reinhard Stoeger, Charles D. Laird, and Matthew Stephens
Volume 4 Issue 2, pg. 871-892
Supplements
| Title |
Appendices |
| Description |
The pdf file contains biological background,
experimental design issues, Markov chain Monte Carlo (MCMC)
procedures and likelihood analyses for special cases. |
| DOI |
10.1214/09-AOAS297SUPPA |
| Link |
http://lib.stat.cmu.edu/aoas/297/supplement_A.pdf
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| Title |
Data and MCMC code |
| Description |
The zip file contains the data analyzed in
this paper, the R code that implements the MCMC procedure and MCMC outputs summarized
and displayed in Section Results.
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| DOI |
10.1214/09-AOAS297SUPPB |
| Link |
http://lib.stat.cmu.edu/aoas/297/supplement_B.zip
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A geometric interpretation of the permutation p-value and its application in eQTL studies
Wei Sun and Fred A Wright
Volume 4 Issue 2, pg. 1014-1033
Supplements
| Title |
Supplementary Methods and Results for "A geometric interpretation of the permutation p-value and its application in eQTL studies"
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| Description |
The Supplementary Methods and Results include four
sections: (1) Single marker analysis and the choice of "best
partition," (2) Description of genotype data, (3) Justification of the
hypersphere assumption for the balanced binary trait, and (4)
Propositions and the proofs.
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| DOI |
10.1214/09-AOAS298SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/298/supplement.pdf |
Bayesian Meta-Analysis for Identifying Periodically Expressed Genes in Fission Yeast Cell Cycle
Xiaodan Fan, Saumyadipta Pyne, and Jun S Liu
Volume 4 Issue 2, pg. 988-1013
Supplements
| Title |
Various supporting materials
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| Description |
In this supplement we provide
model fitting diagnoses, hierarchical clustering results, the
effect of data size on the statistical power, supporting evidences
for newly found genes, and figures referred to in this paper. |
| DOI |
10.1214/09-AOAS300SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/300/supplement.pdf |
Feature Selection Guided by Structural Information
Martin Slawski, Wolfgang zu Castell, and Gerhard Tutz
Volume 4 Issue 2, pg. 1056-1080
Supplements
A time series approach to estimate discontinuities due to a survey redesign
Jan van den Brakel
Volume 4 Issue 2, pg. 1105-1138
Supplements
| Title |
Supplement |
| Description |
The supplementary article contains
additional information about discontinuities in the target variables
about social participation and environmental consciousness that occurred
due to the changeover from the PSLC to the SSPEC. It contains a
description of the target variables about social participation and
environmental consciousness as well as an overview of the observed
differences that occurred during the year of the changeover from the
PSLC in 2004 to the SSPEC in 2005. Finally, the analysis results using
the time series model selected in Section 5.3 are presented for these
variables. As an example, the estimated series and the corrected series
for three variables are provided. This supplement also contains the Ox-program, used to conduct the
intervention analysis with the state-space models developed in this
paper. Input files (time series of "contact frequency with neighbors''
and "separating chemical waste'' and a series with the sample sizes of
the surveys for the different time points) are also provided to
illustrate the use of the program. |
| DOI |
10.1214/09-AOAS305SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/305/supplement.zip |
A Flexible Regression Model for Count Data
Kimberly F Sellers asnd Galit Shmueli
Volume 4 Issue 2, pg. 943-961
Supplements
| Title |
Supplementary Material for "A Flexible Regression Model for
Count Data"
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| Description |
Materials include details of the iterative reweighted
least squares estimation, the Fisher information matrix components
associated with the COM-Poisson coefficients, the full airfreight data
set and diagnostics under various regression models for the airfreight
and crash data, and additional logistic regression examples.
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| DOI |
10.1214/09-AOAS306SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/306/supplement.pdf |
Density estimation for grouped data with application to line transect sampling
Woncheol Jang and Ji Meng Loh
Volume 4 Issue 2, pg. 893-915
Supplements
Transposable Regularized Covariance Models with an Application to Missing Data Imputation
Genevera I Allen and Robert Tibshirani
Volume 4 Issue 2, pg. 764-790
Supplements
| Title |
Additional methods and proofs
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| Description |
This includes sections on the multivariate imputation
method RCMimpute, numerical results on TRCM covariance
estimation, a discussion of properties of the MCECM algorithm for
imputation, computations for the Alternating Conditional
Expectations Algorithm,
a Bayesian one-step approximation to TRCMimpute along with a
Gibbs sampling algorithm, discussion of
cross-validation for estimating penalty parameters, and proofs of
theorems and propositions.
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| DOI |
10.1214/09-AOAS314SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/314/supplement.PDF |
The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder
Ben B Hansen, Carrie A Hosman, and Paul W Holland
Volume 4 Issue 2, pg. 849-879
Supplements
| Title |
Code for computations discussed in the article |
| Description |
Zip archive containing our documented R code and
instructions for obtaining Connors et al.'s data, in the form of a Sweave
and a corresponding PDF file. |
| DOI |
10.1214/09-AOAS315SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/315/supplement.zip |
Ranking Relations Using Analogies in Biological and Information Network
Ricardo Silva, Katherine Heller, Zoubin Ghahramani, Edoardo Airoldi
Volume 4 Issue 2, pg. 615-644
Supplements
| Title |
Java implementation of the Relational Bayesian Sets method |
| Description |
We provide complete source code for our method, and instructions
on how to rebuild our experiments. With the code it is also possible to
test variations of our queries, analyzing the sensitivity of the results
to different query sizes and initialization of the variational optimizer. |
| DOI |
10.1214/09-AOAS321SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/321/supplement.zip |
Bayesian Anomaly Detection Methods for Social Networks
Nicholas Heard, David Weston, Kiriaki Platanioti, and Hand David
Volume 4 Issue 2, pg. 645-662
Supplements
Uncovering Latent Structure in Valued Graphs: A Variational Approach
Mahendra Mariadassou, Stéphane Robin, and Corinne Vacher
Volume 4 Issue 2, pg. 715-742
Supplements
| Title |
Interaction network between tree and fungal species |
| Description |
This file contains: The adjacency matrix of interactions between tree and fungal
species; The list of the tree species; The list of the fungal species; The matrix of genetic distances between tree species; The matrix of geographical distances between tree species; The matrix of taxonomic distances between fungal species; The matrix of nutritional type of the fungal species.
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| DOI |
10.1214/07-AOAS361SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/361/supplement.csv |
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