58 citations · 198 across the 32 of their papers we have counts for
33 papers
Bayesian Prediction in Gamma Models: Admissibility and Infinitesimal Prediction
Fumiyasu Komaki
We study estimation and prediction in the Gamma model , where the shape parameter is known and the scale parameter is unknown, under the Kullback--Leibler…
Minimization of Functions on Dually Flat Spaces Using Geodesic Descent Based on Dual Connections
Gaku Omiya, Fumiyasu Komaki
We propose geodesic-based optimization methods on dually flat spaces, where the geometric structure of the parameter manifold is closely related to the form of the objective functi…
Matrix norm shrinkage estimators and priors
Xiao Li, Takeru Matsuda, Fumiyasu Komaki
We develop a class of minimax estimators for a normal mean matrix under the Frobenius loss, which generalizes the James--Stein and Efron--Morris estimators. It shrinks the Schatten…
BHGNN-RT: Network embedding for directed heterogeneous graphs
Xiyang Sun, Fumiyasu Komaki
Networks are one of the most valuable data structures for modeling problems in the real world. However, the most recent node embedding strategies have focused on undirected graphs,…
Double shrinkage priors for a normal mean matrix
Takeru Matsuda, Fumiyasu Komaki, William E. Strawderman
We consider estimation of a normal mean matrix under the Frobenius loss. Motivated by the Efron--Morris estimator, a generalization of Stein's prior has been recently developed, wh…
On High-Dimensional Asymptotic Properties of Model Averaging Estimators
Ryo Ando, Fumiyasu Komaki
When multiple models are considered in regression problems, the model averaging method can be used to weigh and integrate the models. In the present study, we examined how the good…