DEFMC : Density Estimator for Factors with Many CategoriesDescriptionDEFMC is a tool for robust density estimation of sparse factor data. DEFMC uses Optional Polya Tree(OPT), which is a Bayesian method for predicting probability distribution. Wile the conventional OPT is for continuous variables and orderable discrete variables, this work is for the feasible computation of OPT for factor variables. InstructionsDownloadsDemonstrations |