mloss.org r-cran-BPHOhttp://mloss.orgUpdates and additions to r-cran-BPHOenSat, 01 Dec 2012 00:00:03 -0000r-cran-BPHO 1.3-0http://mloss.org/software/view/90/<html><p>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.
</p></html>Longhai LiSat, 01 Dec 2012 00:00:03 -0000http://mloss.org/software/rss/comments/90http://mloss.org/software/view/90/r-cran