Project details for r-cran-BPHO

Logo r-cran-BPHO 1.2-5

by r-cran-robot - April 7, 2008, 11:34:00 CET [ Project Homepage BibTeX Download ]

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Bayesian Prediction with High-order Interactions: This software can be used in two situations. The first is to predict the next outcome based on the previous states of a discrete sequence. The second is to classify a discrete response based on a number of discreate covariates. In both situations, we use Bayesian logistic regression models that consider the high-order interactions. The models are trained with slice sampling method, a variant of Markov chain Monte Carlo. The time arising from using high-order interactions is reduced greatly by our compression technique that represents a group of original parameters as a single one in MCMC step.

Changes to previous version:

Fetched by r-cran-robot on 2009-08-01 07:16:03.090866

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: None
Tags: R-Cran
Archive: download here


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