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Annals of Applied Statistics |
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Published Issues |
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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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Nonparametric Bayesian Multiple Hypothesis Testing of Autoregressive Time Series
James G Scott
Volume 3 Issue 4, pg. 1655-1674
Supplements
| Title |
DPARtestingAoAS.zip |
| Description |
The data on corporate performance described in this
paper is freely available for those with access to Standard and Poor's
Compustat database. Annual return on assets is computed as (net
income)$/$(total assets), which are Compustat codes NI and AT,
respectively. ROA was further adjusted by regressing upon year, GICS
industry codes, debt-to-equity ratio and sales, all of which are also
available on Compustat. A simulated data set and the software necessary
to implement these models are freely available in the supplemental file
entitled "DPARtestingAoAS.zip."
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| DOI |
10.1214/09-AOAS252SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/252/supplement.zip |
Use of Multiple Singular Value Decompositions to Analyze Complex Intracellular Calcium Ion Signals
Josue G. Martinez, Jianhua Z. Huang, Robert C. Burghardt, Rola Barhoumi, and Raymond James Carroll
Volume 3 Issue 4, pg. 1467-1492
Supplements
| Title |
Calcium ion signaling movies with TCDD exposure |
| Description |
When unzipped, the movie is
in .avi format, and is 30 MB in size. One can view it, for
example, using windows media player.
|
| DOI |
10.1214/07-AOAS253SUPPA |
| Link |
http://lib.stat.cmu.edu/aoas/253/dir2\_T.zip
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Workload Forecasting for a Call Center: Methodology and a Case Study
Sivan Aldor-Noiman, Paul David Feigin, and Avishai Mandelbaum
Volume 3 Issue 4, pg. 1403-1447
Supplements
| Title |
Israeli Telecom company call center data set and forecasting code |
| Description |
The zip folder contains three files: a readme file which
describes the data set in detail; the Israeli Telecom company data set
both in text format and SAS format; and the SAS/STAT
code which was used to create our final forecasting model. |
| DOI |
10.1214/09-AOAS255SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/255/Supplement.zip |
Detecting and handling outlying trajectories in irregularly sampled functional datasets
Daniel Gervini
Volume 3 Issue 4, pg. 1758-1775
Supplements
| Title |
Technical Report and Matlab code
|
| Description |
The pdf file contains proofs, technical
derivations and more detailed simulation results not given in the paper. The zip file contains Matlab programs implementing
the EM algotihm for Normal and t reduced-rank models.
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| DOI |
10.1214/09-AOAS257SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/257/supplement.zip |
Profiling Time Course Expression of Virus Genes-An Illustration of Bayesian Inference under Shape Restrictions
Li-Chu Chien, I-Shou Chang, Pramod K. Gupta, Chi-Chung Wen, Yuh-Jenn Wu, Shih Sheng Jiang, and Chao Agnes Hsiung
Volume 3 Issue 4, pg. 1542-1565
Supplements
| Title |
Profiling time course expression of a single virus gene |
| Description |
This nonhierarchical Bayesian method, using also Bernstein
polynomials, allows nontrivial prior probability on the order of
the Bernstein polynomial and is amenable to simulation studies,
which indicate its excellent numerical performance. |
| DOI |
10.1214/09-AOAS258SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/258/supplement.pdf |
Incompatibility of Trends in Multi-Year Estimates from the American Community Survey
Tucker Sprague McElroy
Volume 3 Issue 4, pg. 1493-1509
Supplements
| Title |
Income, Divorce and Age Data with Trend Calculations |
| Description |
This file contains the Income,
Divorce and Age data of Table 1 in Excel format. Also provided are
the linear trend weighted averages along with compatibility measures
NSR, encoded as Excel formulas. |
| DOI |
10.1214/09-AOAS259SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/259/supplement.zip |
An integrative analysis of cancer gene expression studies using Baysian latent factor modeling
Daniel Merl, Julia Ling-Yu Chen, Jen-Tsan Chi, and Mike West
Volume 3 Issue 4, pg. 1675-1694
Supplements
| Title |
Software and Data |
| Description |
This site contains all materials needed to reproduce the reported
analyses. This includes all data files, control files for the BFRM
and SSS software, and MATLAB functions for producing graphical summaries. |
| DOI |
10.1214/09-AOAS261SUPPA |
| Link |
http://ftp.stat.duke.edu/WorkingPapers/08-34.html |
| Title |
Appendix
|
| Description |
The appendix Merl et al. (2009) provides further details
on prior specifications in the sparse regression and sparse latent factor models.
The appendix also contains details on the control parameters for the evolutionary
factor search and shotgun stochastic search, and describes the procedure for imputing factor scores in new samples. |
| DOI |
10.1214/09-AOAS261SUPPB |
| Link |
http://lib.stat.cmu.edu/aoas/261/supplement.pdf |
Inference on low-rank data matrices with applications to microarray data
Xuming He and Xingdong Feng
Volume 3 Issue 4, pg. 1634-1654
Supplements
| Title |
Proofs of Main Results |
| Description |
We give a lemma on consistency, followed by the proofs for the theorems that are described in Sections Model and Test. |
| DOI |
10.1214/09-AOAS262SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/262/Supplement.pdf |
Discovering Influential Variables: A Method of Partitions
Herman Chernoff, Shaw-Hwa Lo, and Tian Zheng
Volume 3 Issue 4, pg. 1335-1369
Supplements
| Title |
Sections S1--S3 |
| Description |
In the online supplements we detail several
previously-published methods as special cases of the
partition-retention approach (Section S1), the asymptotic distribution
of p(X_3=1|X_1X_2=1)- p(X_3=1) discussed in Example 2 (Section S2)
and some discussion on relative efficiency of I versus J (Section S3). |
| DOI |
10.1214/09-AOAS265SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/265/Supplement.zip |
Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing
Yufen Zhang, James S. Hodges, and Sudipto Banerjee
Volume 3 Issue 4, pg. 1805-1830
Supplements
| Title |
Appendices, data and code |
| Description |
Our supplementary material includes four sections as
appendices. In Appendix A we present a derivation of the precision
matrix of precision. Details of our MCMC algorithms can be
found in Appendix B. Appendix C discusses the mean transformation for
the Poisson case, while Appendix D discusses the estimation of the
H^{(+)}_{A} from MCAR1. In addition, we provide a compressed folder
containing the data set for our 3-cancer Minnesota example as well as
an R code example to implement the SANOVA models. |
| DOI |
10.1214/09-AOAS267SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/267/supplement.zip |
Assessing Uncertainty in the Indian Trust Fund
Edward Mulrow, Hee-Choon Shin, and Fritz Scheuren
Volume 3 Issue 4, pg. 1370-1381
Supplements
Deriving Chemosensitivity from Cell Lines: Forensic Bioinformatics and Reproducible Research in High-Throughput Biology
Keith Baggerly and Kevin Coombes
Volume 3 Issue 4, pg. 1309-1334
Supplements
| Title |
Examining doxorubicin in detail |
| Description |
Zipped pdf report describing the identification of
ties and sensitive/resistant status for samples checked for
doxorubicin. |
| DOI |
10.1214/09-AOAS291SUPPA |
| Link |
http://lib.stat.cmu.edu/aoas/291/supplement-1.zip} |
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