Learning with Tree-Averaged Densities and Distributions

We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density estimation. The model is based on a construction of treestructured copulas - multivariate distributions with uniform on [0, 1] marginals.