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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31 to 40 of 46 Results
Plain Text - 3.6 MB - MD5: 45fc8077c3df52697cae83e4af8dfb39
1. Data
Data file
Nov 27, 2007
Peter D. Hoff, 2007, "Replication data for: Extending the rank likelihood for semiparametric copula estimation", https://doi.org/10.7910/DVN/G4WZFP, Harvard Dataverse, V1, UNF:3:IA0sBg0nAMB7CZi0YV10ig== [fileUNF]
Quantitative studies in many fields involve the analysis of multivariate data of diverse types, including measurements that we may consider binary, ordinal and continuous. One approach to the analysis of such mixed data is to use a copula model, in which the associations among the variables are parameterized separately from their univariate margina...
Tabular Data - 16.1 KB - 7 Variables, 1002 Observations - UNF:3:IA0sBg0nAMB7CZi0YV10ig==
1. Data
Data file for this study
Plain Text - 27.5 KB - MD5: 9e692795f9146c7530a138f90a5e2a89
1. Data
Data file for this study
Plain Text - 1.6 KB - MD5: 3a3046ab23c43a4bfd680f83d693fef3
2. Supplementary Files
Program file for this study
Nov 27, 2007
David M. Blei; John D. Lafferty, 2007, "Replication data for: A Correlated Topic Model of Science", https://doi.org/10.7910/DVN/12VGO7, Harvard Dataverse, V1
Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which is a distribution over the vocabulary. A limitation of LDA is the inability to model topic corr...
ZIP Archive - 13.2 MB - MD5: 20349bfeda8ab5c371d75f6492535036
2. Data
Program and data file for this study in zip file format
Gzip Archive - 13.1 MB - MD5: 970b681b31e869982fa180fc58d6268b
2. Data
Data file in original format
Gzip Archive - 18.4 KB - MD5: d9ffc6630cd9144c03b7f9a69099c38d
2. Data
Program file in original format
Adobe PDF - 495.1 KB - MD5: 71517f878a2885eeb017442c0b741f8a
1. Documentation
Original article for this study
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