Annals of Applied Statistics Dataverse

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.

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11 to 20 of 46 Results

supplement.pdf Nov 27, 2007 - Replication data for: A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields Adobe PDF - 40.4 KB - MD5: 03766e6ae824504d71b17fb24df8fd6c 1. Documentation WinBUGS code for the univariate spatial stick-breaking model
Replication data for: Random-set Methods Identify Distinct Aspects of the Enrichment Signal in Gene-set Analysis Nov 27, 2007 Michael A. Newton; Fernando A. Quintana; ohan A. den Boon; Srikumar Sengupta; and Paul Ahlquist, 2007, "Replication data for: Random-set Methods Identify Distinct Aspects of the Enrichment Signal in Gene-set Analysis", https://doi.org/10.7910/DVN/ZVHDGA, Harvard Dataverse, V1 A prespecified set of genes may be enriched, to varying degrees, for genes that have altered expression levels relative to two or more states of a cell. Knowing the enrichment of gene sets defined by functional categories, such as gene ontology (GO) annotations, is valuable for analyzing the biological signals in microarray expression data. A commo...
supplement.pdf Nov 27, 2007 - Replication data for: Random-set Methods Identify Distinct Aspects of the Enrichment Signal in Gene-set Analysis Adobe PDF - 388.5 KB - MD5: 2b1f9cc90a02328ef24ac155fa26ec9a 1. Documentation Supplementary Materials for Newton et al.
Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions Nov 27, 2007 Galit Shmueli; Ralph P. Russo; and Wolfgang Jank, 2007, "Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions", https://doi.org/10.7910/DVN/FQ3CCH, Harvard Dataverse, V1 The arrival process of bidders and bids in online auctions is important for studying and modeling supply and demand in the online marketplace. A popular assumption in the online auction literature is that a Poisson bidder arrival process is a reasonable approximation. This approximation underlies theoretical derivations, statistical models, and sim...
AOAS0612-001R1A0.pdf Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions Adobe PDF - 386.1 KB - MD5: 731a8da19506acdfbf3dfd1e245b4525 1. Documentation Original article for this study
Empirical_CDF.m Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions Plain Text - 340 B - MD5: 7cfff3cc5705d585a92dade43ce22af7 2. Data Computes the CDF(threshold) = P(X <= threshold) for a given dataset
QC_alpha3.m Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions Plain Text - 1016 B - MD5: 99cb3afbf0bf77f8ab2587ffdec86ad8 2. Data Computes CDF-based (quick&crude) estimate of alpha3 in [T-d2,T] based on s,t within this interval, and gives a standard error based on bootstrap
QC_alpha.asv Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions Plain Text - 1.0 KB - MD5: fb4de4570961118712ae9d75df261d84 2. Data Estimates alpha1 and alpha2
QC_alpha.m Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions Plain Text - 1.2 KB - MD5: 478c6bb7f067fc2e5e8ab99519886c6e 2. Data Computes quick&dirty estimate of alpha in a chosen interval ([0,d1], [d1-T-d2], or [T-d2,T]) based on two values T-s and T-t within this interval. The program gives an estimate and a standard error based on bootstrap
QC_d1d2.m Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions Plain Text - 1.9 KB - MD5: 59fd2667bd605d16359448f90fcdeda2 2. Data Computes CDF-based (quick&crude) estimates of the change-points d1, d2 and their standard error based on bootstrap

supplement.pdf

Nov 27, 2007 - Replication data for: A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields

Adobe PDF - 40.4 KB -

1. Documentation

WinBUGS code for the univariate spatial stick-breaking model

Replication data for: Random-set Methods Identify Distinct Aspects of the Enrichment Signal in Gene-set Analysis

Nov 27, 2007

Michael A. Newton; Fernando A. Quintana; ohan A. den Boon; Srikumar Sengupta; and Paul Ahlquist, 2007, "Replication data for: Random-set Methods Identify Distinct Aspects of the Enrichment Signal in Gene-set Analysis", https://doi.org/10.7910/DVN/ZVHDGA, Harvard Dataverse, V1

A prespecified set of genes may be enriched, to varying degrees, for genes that have altered expression levels relative to two or more states of a cell. Knowing the enrichment of gene sets defined by functional categories, such as gene ontology (GO) annotations, is valuable for analyzing the biological signals in microarray expression data. A commo...

supplement.pdf

Nov 27, 2007 - Replication data for: Random-set Methods Identify Distinct Aspects of the Enrichment Signal in Gene-set Analysis

Adobe PDF - 388.5 KB -

1. Documentation

Supplementary Materials for Newton et al.

Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions

Nov 27, 2007

Galit Shmueli; Ralph P. Russo; and Wolfgang Jank, 2007, "Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions", https://doi.org/10.7910/DVN/FQ3CCH, Harvard Dataverse, V1

The arrival process of bidders and bids in online auctions is important for studying and modeling supply and demand in the online marketplace. A popular assumption in the online auction literature is that a Poisson bidder arrival process is a reasonable approximation. This approximation underlies theoretical derivations, statistical models, and sim...

AOAS0612-001R1A0.pdf

Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions

Adobe PDF - 386.1 KB -

1. Documentation

Original article for this study

Empirical_CDF.m

Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions

Plain Text - 340 B -

2. Data

Computes the CDF(threshold) = P(X <= threshold) for a given dataset

QC_alpha3.m

Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions

Plain Text - 1016 B -

2. Data

Computes CDF-based (quick&crude) estimate of alpha3 in [T-d2,T] based on s,t within this interval, and gives a standard error based on bootstrap

QC_alpha.asv

Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions

Plain Text - 1.0 KB -

2. Data

Estimates alpha1 and alpha2

QC_alpha.m

Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions

Plain Text - 1.2 KB -

2. Data

Computes quick&dirty estimate of alpha in a chosen interval ([0,d1], [d1-T-d2], or [T-d2,T]) based on two values T-s and T-t within this interval. The program gives an estimate and a standard error based on bootstrap

QC_d1d2.m

Nov 27, 2007 - Replication data for: The BARISTA: A Model for Bid Arrivals in Online Auctions

Plain Text - 1.9 KB -

2. Data

Computes CDF-based (quick&crude) estimates of the change-points d1, d2 and their standard error based on bootstrap

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