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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 r...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3863948/ https://ncbi.nlm.nih.gov/pubmed/24358073 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/13-BA816 |
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