11 citations · 22 across the 17 of their papers we have counts for
18 papers
On the minimum information checkerboard copulas under fixed Kendall's rank correlation
Issey Sukeda, Tomonari Sei
Copulas have gained widespread popularity as statistical models to represent dependence structures between multiple variables in various applications. The minimum information copul…
A branch cut approach to the probability density and distribution functions of a linear combination of central and non-central Chi-square random variables
Alfred Kume, Tomonari Sei, Andrew T. A. Wood
The paper considers the distribution of a general linear combination of central and non-central chi-square random variables by exploring the branch cut regions that appear in the s…
Maximum Likelihood Estimation of Log-Concave Densities on Tree Space
Yuki Takazawa, Tomonari Sei
Phylogenetic trees are key data objects in biology, and the method of phylogenetic reconstruction has been highly developed. The space of phylogenetic trees is a nonpositively curv…
Minimum information dependence modeling
Tomonari Sei, Keisuke Yano
We propose a method to construct a joint statistical model for mixed-domain data to analyze their dependence. Multivariate Gaussian and log-linear models are particular examples of…
A proper scoring rule for minimum information copulas
Yici Chen, Tomonari Sei
Multi-dimensional distributions whose marginal distributions are uniform are called copulas. Among them, the one that satisfies given constraints on expectation and is closest to t…
Improving Randomization Tests under Interference Based on Power Analysis
Mizuho Yanagi, Tomonari Sei
In causal inference, we can consider a situation in which treatment on one unit affects others, i.e., interference exists. In the presence of interference, we cannot perform a clas…