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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 35 Results
Adobe PDF - 203.6 KB - MD5: fabe599d443b6a6edb3fe665debe452f
1. Documentation
Original article for this study
Adobe PDF - 30.7 KB - MD5: 57599d66860ac981f4db346ddcb41e0b
1. Documentation
Effects of cross-hybridization and their relevance to correlation analysis of microarray data
Adobe PDF - 256.5 KB - MD5: 98f17f48fd75aa1f68c3b3ffc5018cb4
1. Documentation
The figures presented are counterparts of Figure 2 in the main text; they refer to other sets of microarray data.
Adobe PDF - 16.7 KB - MD5: 822e7d17d0e284ce9306e2a4312807a4
1. Documentation
Supporting material for Remark 3
Adobe PDF - 17.4 KB - MD5: d88a054590cc014725eed7cc0c20f82b
1. Documentation
Distribution of the effect sizes specified for 350 elements of the sequence
Adobe PDF - 1.1 MB - MD5: 1b302fe1e0eeb135af36d1cc8095ee30
1. Documentation
Outcomes of testing in the course of subsampling
Adobe PDF - 57.7 KB - MD5: bfeee3fde144d3568b9243e818cb7821
1. Documentation
Coupling Hidden Markov Models for the Discovery of Cis-Regulatory Modules in Multiple Species (Supplemental Notes)
Adobe PDF - 40.4 KB - MD5: 03766e6ae824504d71b17fb24df8fd6c
1. Documentation
WinBUGS code for the univariate spatial stick-breaking model
Adobe PDF - 388.5 KB - MD5: 2b1f9cc90a02328ef24ac155fa26ec9a
1. Documentation
Supplementary Materials for Newton et al.
Adobe PDF - 386.1 KB - MD5: 731a8da19506acdfbf3dfd1e245b4525
1. Documentation
Original article for this study
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.