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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 2b (2011) |
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Modeling Networks from Sampled Data
Mark Stephen Handcock and Krista Jennifer Gile
Volume 4 Issue 1, pg. 5-25
Supplements
| Title |
Software used in the simulation study |
| Author |
Mark Stephen Handcock and Krista Jennifer Gile |
| Type |
.zip |
| Description |
The code used to perform this study is written in the
statistical language Development Core Team and is
based on, an open-source
software suite for network modeling.
We provide the code and documentation for it with links to the
website.
|
| DOI |
10.1214/08-AOAS221SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/221/supplement.zip |
Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer
Jie Peng, Ji Zhu, Anna Bergamaschi, Wonshik Han, Dong-Young Noh, Jonathan Pollack, and Pei Wang
Volume 4 Issue 1, pg. 53-77
Supplements
| Title |
Supplement A-D |
| Author |
Jie Peng, Ji Zhu, Anna Bergamaschi, Wonshik Han, Dong-Young Noh, Jonathan Pollack, and Pei Wang |
| Type |
.pdf |
| Description |
Supplement A: This section provides the detailed proof of Theorem 2.1.
Supplement B: In this section, we de-
scribe the BIC criterion for selecting (λ1,λ2). We also derive an unbiased
estimator of the degrees of freedom of the remMap estimator under orthogonal design.
Supplement C: This section contains one simulation study. We consider
the scenario where some columns of the coefficient matrix B are
dependent.
Supplement D: In this section we describe
the preprocessing analysis before fitting the remMap model
on the real data set.
|
| DOI |
10.1214/09-AOAS271SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/271/supplement.pdf
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An Empirical Bayes Mixture Method For False Discovery Rate and Effect Size Estimation
Omkar Muralidharan
Volume 4 Issue 1, pg. 422-438
Supplements
| Title |
Model and Simulation Code |
| Author |
Omkar Muralidharan |
| Type |
.zip |
| Description |
This file contains the batting average data, R code to
fit binomial normal
mixture models, and scripts to carry out the simulations and data
analysis performed in the paper.
The R package "mixfdr" available from CRAN and the author's website,
has the code for the normal
mixture model. |
| DOI |
10.1214/09-AOAS276SUPPA |
| Link |
http://lib.stat.cmu.edu/aoas/276/rcode.zip |
| Title |
Fitting Details and Derivations |
| Author |
Omkar Muralidharan |
| Type |
.pdf |
| Description |
This document has more details on the EM algorithm used
to fit
the model and derivations of some posterior distribution formulas.
|
| DOI |
10.1214/09-AOAS276SUPPB |
| Link |
http://lib.stat.cmu.edu/aoas/276/supplement.pdf |
A latent factor model for spatial data with informative missingness
Brian James Reich and Dipankar Bandyopadhyay
Volume 4 Issue 1, pg. 439-459
Supplements
| Title |
Computer code (spatial factor.R)
|
| Author |
Brian James Reich and Dipankar Bandyopadhyay |
| Type |
.R |
| Description |
In the supplemental file, we include R code to analyze
a single continuous response with informative missingness.
Use of the code is described in the file and is illustrated with an
analysis of a simulated data set. |
| DOI |
10.1214/09-AOAS278SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/278/spatial%20factor.R |
Variable Selection and Updating In Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications
Thomas Brendan Murphy, Nema Dean, and Adrian E. Raftery
Volume 4 Issue 1, pg. 396-421
Supplements
| Title |
Data |
| Author |
Thomas Brendan Murphy, Nema Dean, and Adrian E. Raftery |
| Type |
.zip |
| Description |
This zipfile contains the data sets used in this paper.
The original data source information and conditions for the use of the
data are outlined in this file.
|
| DOI |
10.1214/09-AOAS279SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/279/supplement.zip |
Nonparametric Inference Procedure for Percentiles of the Random Effects Distribution in Meta Analysis
Rui Wang, Lu Tian, Tianxi Cai, and L.J. Wei
Volume 4 Issue 1, pg. 520-532
Supplements
| Title |
Additional examples, simulation results and computer codes |
| Author |
Rui Wang, Lu Tian, Tianxi Cai, and L.J. Wei |
| Type |
.pdf |
| Description |
We present the results for the mortality data set
restricted to the six trials for anemia of cancer and the results for
the venous thromboembolism rates data set in Bennett et al.
using the proposed approach, report the simulation results for
continuous responses and for the setting where the sample sizes for
individual studies are small, and provide R codes for implementation of
the proposed procedure.
|
| DOI |
10.1214/09-AOAS280SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/280/supplement.pdf |
Sequential Monte Carlo Pricing of American Style Options Under Stochastic Volatility Models
Bhojnarine R. Rambharat and Anthony E. Brockwell
Volume 4 Issue 1, pg. 222-265
Supplements
| Title |
Code and data sets |
| Author |
Bhojnarine R. Rambharat and Anthony E. Brockwell |
| Type |
.zip |
| Description |
The R code used in our analysis for pricing American-style
options in a latent stochastic volatility framework as well code for
optimizing all model parameters, including the market price of
volatility risk, are part of this supplement. The data sets used in our pricing/estimation
analysis include historical share prices and American put option prices
for three equities: Dell, Disney and Xerox. The data files are in this
supplement. |
| DOI |
10.1214/09-AOAS286SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/286/supplement.zip |
Downscaling Extremes: A Comparison of Extreme Value Distributions in Point-Source and Gridded Precipitation Data
Elizabeth C. Mannshardt-Shamseldin, Richard L. Smith, Stephan R. Sain, Linda O. Mearns, and Daniel Cooley
Volume 4 Issue 1, pg. 484-502
Supplements
| Title |
Appendix of Graphics |
| Author |
Elizabeth C. Mannshardt-Shamseldin, Richard L. Smith, Stephan R. Sain, Linda O. Mearns, and Daniel Cooley |
| Type |
.pdf |
| Description |
The appendix provides supplemental graphics, which are
referenced in the manuscript as~A.x.
|
| DOI |
10.1214/09-AOAS287SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/287/supplement.pdf |
Causal Graphical Models in Systems Genetics: a unifed framework for joint inference of causal network and genetic architecture for correlated phenotypes
Elias Chaibub Neto, Mark P Keller, Alan D Attie, and Brian S Yandell
Volume 4 Issue 1, pg. 320-339
Supplements
| Title |
Supplement to "Causal graphical models in systems genetics:
A unified framework for joint inference of causal network and genetic architecture for correlated phenotypes"
|
| Author |
Elias Chaibub Neto, Mark P Keller, Alan D Attie, and Brian S Yandell |
| Type |
.zip |
| Description |
The Supplement article presents: (1) the
Metropolis-Hastings algorithm for QTLnet; (2) supplementary tables for
the simulations and real data example; (3) convergence diagnostics for
the real data example; (4) comparison with Winrow et al.;
and (5) the proofs of Results. |
| DOI |
10.1214/09-AOAS288SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/288/supplement.pdf |
E-Loyalty Networks in Online Auctions
Wolfgang Jank and Inbal Yahav
Volume 4 Issue 1, pg. 151-178
Supplements
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