Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates

Testing for affine equivalence of elliptically symmetric distributions

Journal of Multivariate Analysis

Checking the adequacy of the multivariate semiparametric location shift model

Journal of Multivariate Analysis

A test for the two-sample problem based on empirical characteristic functions

Computational Statistics & Data Analysis

A Hilbert Space Embedding for Distributions

ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory

Distribution-based similarity measures for multi-dimensional point set retrieval applications

MM '08 Proceedings of the 16th ACM international conference on Multimedia

On the choice of the smoothing parameter for the BHEP goodness-of-fit test

Computational Statistics & Data Analysis

Non-parametric k-sample tests: Density functions vs distribution functions

Computational Statistics & Data Analysis

A kernel approach to comparing distributions

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2

Dimensionality reduction for density ratio estimation in high-dimensional spaces

Neural Networks

Hilbert Space Embeddings and Metrics on Probability Measures

The Journal of Machine Learning Research

Least-squares two-sample test

Neural Networks

A kernel two-sample test

The Journal of Machine Learning Research

Feature selection via dependence maximization

The Journal of Machine Learning Research

Case-based reasoning in comparative effectiveness research

IBM Journal of Research and Development

Dependent wild bootstrap for degenerate U- and V-statistics

Journal of Multivariate Analysis

Density-difference estimation

Neural Computation