DEFMC : Density Estimator for Factors with Many Categories


Description

DEFMC 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.




Instructions

Instructions


Downloads

C++ code download


Demonstrations

Demo