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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Plain Text - 1.3 KB - MD5: d1725de29e264238c99bc2b91d1d6218
1. Documentation
Detailed information on the files in this study
Plain Text - 1.3 KB - MD5: 4edd0ade6b252de985c4904481712424
2. Data
Simulates arrivals from this process
ZIP Archive - 4.4 KB - MD5: 5e1bcfd2f80ae4f67882c0a709ddb182
2. Data
Zip file containing all of the files required to replicate this study
Nov 27, 2007
David M. Seo; Pascal J. Goldschmidt-Clermont; and Mike West, 2007, "Replication data for: Of Mice and Men: Sparse Statistical Modeling in Cardiovascular Genomics", https://doi.org/10.7910/DVN/OSQPDV, Harvard Dataverse, V1
In high-throughput genomics, large-scale designed experiments are becoming common, and analysis approaches based on highly multivariate regression and anova concepts are key tools. Shrinkage models of one form or another can provide comprehensive approaches to the problems of simultaneous inference that involve implicit multiple comparisons over th...
ZIP Archive - 2.9 MB - MD5: 1cd8cf3ec271efb306c118cc561648dd
2. Data
Zip file containing raw data and model parameters files for the human factor analyses
ZIP Archive - 3.1 MB - MD5: 5e45ce7ed5153b7a625f322851d8b0b2
2. Data
Zip file containing raw data and model parameters files for the mice factor analyses
Adobe PDF - 477.3 KB - MD5: e90e1fa881d08c085243557a116652f3
1. Documentation
SPARSE STATISTICAL MODELLING IN CARDIOVASCULAR GENOMICS — SUPPLEMENTARY FIGURES AND TABLES
Nov 27, 2007
Anita M. Araneda; Stephen E. Fienberg; Pontificia Universidad Católica de Chile, 2007, "Replication data for: A Statistical Approach to Simultaneous Mapping and Localization for Mobile Robots", https://doi.org/10.7910/DVN/TYUUPP, Harvard Dataverse, V1
Mobile robots require basic information to navigate through an environment: they need to know where they are (localization) and they need to know where they are going. For the latter, robots need a map of the environment. Using sensors of a variety of forms, robots gather information as they move through an environment in order to build a map. In t...
ZIP Archive - 1.1 MB - MD5: e1ba35705b55b2e08d4a7c721e7f0e87
1. Data
Zip file containing all of the documents and data for this study
Plain Text - 775.2 KB - MD5: 0a99b6f654772f74278c376e7aeeda15
1. Data
Data file
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