1 citations · 2 across the 4 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2022
Minimum information divergence of Q-functions for dynamic treatment resumes
Shinto Eguchi
This paper aims at presenting a new application of information geometry to reinforcement learning focusing on dynamic treatment resumes. In a standard framework of reinforcement le…
stat.ME2020
Copula-based measures of asymmetry between the lower and upper tail probabilities
Shogo Kato, Toshinao Yoshiba, Shinto Eguchi
We propose a copula-based measure of asymmetry between the lower and upper tail probabilities of bivariate distributions. The proposed measure has a simple form and possesses some…
stat.ME2012★ 1 cited
Robust Independent Component Analysis via Minimum Divergence Estimation
Peng-Wen Chen, Hung Hung, Osamu Komori +2
Independent component analysis (ICA) has been shown to be useful in many applications. However, most ICA methods are sensitive to data contamination and outliers. In this article w…