Kanta Naito

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Semiparametric density estimation with localized Bregman divergence.
J. Multivar. Anal.
Daisuke Matsuno, Kanta Naito
2024 J jnl
Kernel density estimation by stagewise algorithm with a simple dictionary.
Comput. Stat.
Kiheiji Nishida, Kanta Naito
2024 J jnl
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space.
Comput. Stat. Data Anal.
Hiroya Yamazoe, Kanta Naito
2022 J jnl
Support vector regression with penalized likelihood.
Comput. Stat. Data Anal.
Takumi Uemoto, Kanta Naito
2021 J jnl
Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary.
CoRR
Kiheiji Nishida, Kanta Naito
2020 J jnl
Asymptotics and practical aspects of testing normality with kernel methods.
J. Multivar. Anal.
Natsumi Makigusa, Kanta Naito
2019 J jnl
Regression with stagewise minimization on risk function.
Comput. Stat. Data Anal.
Takuma Yoshida, Kanta Naito
2018 J jnl
Locally robust methods and near-parametric asymptotics.
J. Multivar. Anal.
Spiridon I. Penev, Kanta Naito
2013 J jnl
Density estimation with minimization of U-divergence.
Mach. Learn.
Kanta Naito, Shinto Eguchi
2012 J jnl
Pattern recognition based on canonical correlations in a high dimension low sample size context.
J. Multivar. Anal.
Mitsuru Tamatani, Inge Koch, Kanta Naito
2010 J jnl
A computationally efficient model selection in the generalized linear mixed model.
Comput. Stat.
Takuma Yoshida, Masaru Kanba, Kanta Naito
2010 J jnl
Prediction of multivariate responses with a selected number of principal components.
Comput. Stat. Data Anal.
Inge Koch, Kanta Naito
2009 J jnl
Bandwidth selection for a data sharpening estimator in nonparametric regression.
J. Multivar. Anal.
Kanta Naito, Masahiro Yoshizaki
2007 J jnl
Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis.
Neural Comput.
Inge Koch, Kanta Naito