Yuta Umezu

发表

Selective Inference for Multi-Dimensional Multiple Change Point Detection

I. Takeuchi, Yuta Umezu, 2017 .

Variable selection in multivariate linear models for functional data via sparse regularization

H. Matsui, Yuta Umezu, 2020, Japanese Journal of Statistics and Data Science.

A novel sensitive detection method for DNA methylation in circulating free DNA of pancreatic cancer

H. Aburatani, K. Matsuo, Hidemi Ito, 2020, PloS one.

Selective Inference for Change Point Detection in Multi-dimensional Sequences

I. Takeuchi, Yuta Umezu, 2017, 1706.00514.

AIC for the non-concave penalized likelihood method

Y. Ninomiya, Hiroki Masuda, Yuta Umezu, 2018, Annals of the Institute of Statistical Mathematics.

Selective Inference in Propensity Score Analysis

Ichiro Takeuchi, Yuta Umezu, Yoshiyuki Ninomiya, 2021, 2105.00416.

AIC for the non-concave penalized likelihood method

Hiroki Masuda, Yuta Umezu, Y. Shimizu, 2015, 1509.01688.

Numerical simulation for the tensile failure of randomly oriented short fiber reinforced plastics based on a viscoelastic entropy damage criterion

K. Sakaue, J. Koyanagi, Yuta Umezu, 2022, Composites Part C: Open Access.

Ridge-type regularization method for questionnaire data analysis

Yuta Umezu, Hidetoshi Matsuoka, Yoshiyuki Ninomiya, 2016 .

Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2018, Ecosphere.

Defect rate evaluation via simple active learning

Hidetoshi Matsuoka, Hiroshi Ikeda, Yuta Umezu, 2015 .

Selective Inference for Sparse High-Order Interaction Models

Ichiro Takeuchi, Shinya Suzumura, Koji Tsuda, 2017, ICML.

Post Selection Inference with Kernels

Kenji Fukumizu, Makoto Yamada, Ichiro Takeuchi, 2016, AISTATS.

Selective inference via marginal screening for high dimensional classification

Ichiro Takeuchi, Yuta Umezu, I. Takeuchi, 2019, Japanese Journal of Statistics and Data Science.

M L ] 1 4 O ct 2 01 6 Post Selection Inference with Kernels

K. Fukumizu, I. Takeuchi, M. Yamada, 2021 .

Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis

Ichiro Takeuchi, Masayuki Karasuyama, Takuto Sakuma, 2019, Adv. Robotics.