nonparametric statistics

A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Blossom Tree Graphical Models NeurIPS 2014 Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014 Optimal rates for k-NN density and mode estimation NeurIPS 2014 Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space NeurIPS 2014 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Efficient Moments-based Permutation Tests NeurIPS 2009 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006