Multiple-Shrinkage Multinomial Probit Models with Applications to Simulating Geographies in Public Use Data
نویسندگان
چکیده
منابع مشابه
Multiple-Shrinkage Multinomial Probit Models with Applications to Simulating Geographies in Public Use Data.
Multinomial outcomes with many levels can be challenging to model. Information typically accrues slowly with increasing sample size, yet the parameter space expands rapidly with additional covariates. Shrinking all regression parameters towards zero, as often done in models of continuous or binary response variables, is unsatisfactory, since setting parameters equal to zero in multinomial model...
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When releasing data to the public, data stewards are ethically and often legally obligated to protect the confidentiality of data subjects' identities and sensitive attributes. They also strive to release data that are informative for a wide range of secondary analyses. Achieving both objectives is particularly challenging when data stewards seek to release highly resolved geographical informat...
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ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2013
ISSN: 1936-0975
DOI: 10.1214/13-ba816