1 citations · 1 across the 4 of their papers we have counts for
6 papers
Cumulant-based approximation for fast and efficient prediction for species distribution
Osamu Komori, Yusuke Saigusa, Shinto Eguchi +1
Species distribution modeling plays an important role in estimating the habitat suitability of species using environmental variables. For this purpose, Maxent and the Poisson point…
Robust minimum divergence estimation in a spatial Poisson point process
Yusuke Saigusa, Shinto Eguchi, Osamu Komori
Species distribution modeling (SDM) plays a crucial role in investigating habitat suitability and addressing various ecological issues. While likelihood analysis is commonly used t…
Statistical learning for species distribution models in ecological studies
Osamu Komori, Yusuke Saigusa, Shinto Eguchi
We discuss species distribution models (SDM) for biodiversity studies in ecology. SDM plays an important role to estimate abundance of a species based on environmental variables th…
Gene-Gene association for Imaging Genetics Data using Robust Kernel Canonical Correlation Analysis
Md ashad Alam, Osamu Komori, Yu-Ping Wang
In genome-wide interaction studies, to detect gene-gene interactions, most methods are divided into two folds: single nucleotide polymorphisms (SNP) based and gene-based methods. B…
Spontaneous Clustering via Minimum γ-divergence
Akifumi Notsu, Osamu Komori, Shinto Eguchi
We propose a new method for clustering based on the local minimization of the γ-divergence, which we call the spontaneous clustering. The greatest advantage of the proposed method…
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…