2020/01/10 by Dino Sejdinović, Sejdinovic, Dino
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference
paper · pdf · doi:10.48550/arxiv.2001.03267
openalex publication_date 2020/01/10 · openalex created_date 2020/01/23 · openalex updated_date 2026/07/28
The discussion focuses on metric covariance, a new association measure between paired random objects in a metric space, developed by Dubey and Müller, and on its relationship with other similar concepts which have previously appeared in the literature, including distance covariance by Székely et al, as well as its generalisations which rely on the formalism of reproducing kernel Hilbert spaces (RKHS).