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Annals of Applied Statistics |
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Submissions |
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Supplement Instructions |
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Subscriptions |
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Editorial Board |
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Published Issues |
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Supplements |
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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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Future Issues |
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Instructions for Referees |
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Letters to Editor |
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Testing significance of features by lassoed principal components
Daniela M Witten and Robert Tibshirani
Volume 2 Issue 3, pg. 986-1012
Supplements
| Title |
Testing significance of features by lassoed principal components |
| Description |
R code for simulations, details of variance derivations for latent variable model and supporting figures. |
| DOI |
10.1214/08-AOAS182SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/182/supplement.pdf |
Supplements
Horseshoes in Multidimensional Scaling and Kernel Methods
Persi Diaconis, Sharad Goel and Susan Holmes
Volume 2 Issue 3, pg. 777-807
Supplements
| Title |
Supplementary files for "Horseshoes in multidimensional scaling and local kernel methods" |
| Description |
This directory contains both the matlab
and R files and the original data
as well as the transformed data. |
| DOI |
10.1214/08-AOAS165SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/165/supplement.tar |
Inference using Shape-Restricted Regression Splines
Mary C Meyer
Volume 2 Issue 3, pg. 1013-1033
Supplements
| Title |
R code: Supplement 1 |
| Description |
Performs a weighted monotone piecewise quadratic spline
least-squares regression.
inputs: scatterplot points (x,y) where the x are sorted and distinct.
weights w must be positive. (y_i)=w_i
k is the number of interior knots. These will be placed at
approximately equal x-quantiles
output: the values of the fit at the observed x values. |
| DOI |
10.1214/08-AOAS167SUPPA |
| Link |
http://lib.stat.cmu.edu/aoas/167/supplement1.r |
| Title |
R code: Supplement 2 |
| Description |
Performs a weighted convex piecewise cubic spline
least-squares regression.
inputs: scatterplot points (x,y) where the x are sorted and distinct.
weights w must be positive. (y_i)=w_i
k is the number of interior knots. These will be placed at
approximately equal x-quantiles
output: the values of the fit at the observed x values.
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| DOI |
10.1214/08-AOAS167SUPPB |
| Link |
http://lib.stat.cmu.edu/aoas/167/supplement2.r |
| Title |
R code: Supplement 3 |
| Description |
Performs a weighted monotone convex piecewise cubic
spline least-squares regression.
inputs: scatterplot points (x,y) where the x are sorted and distinct.
weights w must be positive. (y_i)=w_i
k is the number of interior knots. These will be placed at
approximately equal x-quantiles
output: the values of the fit at the observed x values. |
| DOI |
10.1214/08-AOAS167SUPPC |
| Link |
http://lib.stat.cmu.edu/aoas/167/supplement3.r |
| Title |
R code: Supplement 4 |
| Description |
Fit two parallel monotone piecewise quadratic curves to a
scatterplot.
inputs: scatterplot points (x,d,y) where the x are sorted and
distinct and
d is a vector of ones and zeros.
k is the number of interior knots. These will be placed at
approximately equal x-quantiles
outputs: the values of the fit for d=0 at the observed x values and
the increase
in intercept for d=1. |
| DOI |
10.1214/08-AOAS167SUPPD |
| Link |
http://lib.stat.cmu.edu/aoas/167/supplement4.r |
Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions
Jie Peng and Hans-Georg Mueller
Volume 2 Issue 3, pg. 1056-1077
Supplements
Category Aggregation and Partitioning Models for Contingency Tables: Sequential Procedures for Examining the Information in a Table
Laurence Fraser Jackson, Alistair Gray, and Stephen E Fienberg
Volume 2 Issue 3, pg. 955-981
Supplements
| Title |
Tools for construction and comparison of PCC and HLL models |
| Description |
A program to execute the procedures in the paper are provided in the supplementary
material and illustrated with steps to generate some graphs and tables from the paper.
The read.me file provides some instructions on its use. The program requires the free array
programming language J available from http://www.jsoftware.com |
| DOI |
10.1214/08-AOAS175SUPP |
| Link |
http://lib.stat.cmu.edu/aoas/175/AOAS175SUPP.zip |
An Application of Principal Stratification to Control for Institutionalization at Follow-Up in Studies of Substance Abuse Treatment Programs
Beth Ann Griffin, Daniel F. McCaffery, and Andrew R. Morral
Volume 2 Issue 3, pg. 1034-1055
Supplements
| Title |
Supplementary tables for "An application of principal stratification
to control for institutionalization at follow-up in studies of substance
abuse treatment programs"
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| Description |
This file contains tabulated results to simulation study of
principal stratification method.
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| DOI |
10.1214/08-AOAS179SUPPA |
| Link |
http://lib.stat.cmu.edu/aoas/179/AOAS179_SUPPA.pdf |
| Title |
Example data for running principal stratification model in "An application of principal stratification
to control for institutionalization at follow-up in studies of substance
abuse treatment programs"
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| Description |
This file contains dataset described in paper. |
| DOI |
10.1214/08-AOAS179SUPPB |
| Link |
http://lib.stat.cmu.edu/aoas/179/AOAS179_SUPPB.csv |
| Title |
Example code for running principal stratification model in "An application of principal stratification
to control for institutionalization at follow-up in studies of substance
abuse treatment programs"
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| Description |
This file contains code used to run models in paper.
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| DOI |
10.1214/08-AOAS179SUPPC |
| Link |
http://lib.stat.cmu.edu/aoas/179/AOAS179_SUPPC.txt |
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