J-GLOBAL ID:202001004977420930   Update date: Jan. 20, 2021

Terada Yoshikazu

テラダ ヨシカズ | Terada Yoshikazu
Affiliation and department:
Job title: 講師
Research theme for competitive and other funds  (5):
  • 2020 - 2025 探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証
  • 2020 - 2023 大規模・複雑データに対するクラスタリング法の開発とその理論的性質の解明
  • 2016 - 2019 Theory and application of unsupervised learning for Network data and functional data
  • 2014 - 2016 Statistical theory of unsupervised learning with a focus on clustering methods
  • 2012 - 2013 シンボリックデータ解析による大規模及び複雑なデータに対する解析法の研究
Papers (13):
  • Yoshikazu Terada, Issei Ogasawara, Ken Nakata. Classification from only positive and unlabeled functional data. Annals of Applied Statistics. 2020. 14. 4. 1724-1742
  • Benjamin Poignard, Yoshikazu Terada. Statistical analysis of sparse approximate factor models. Electronic Journal of Statistics. 2020. 14. 2. 3315-3365
  • Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira. More Powerful Selective Kernel Tests for Feature Selection. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. 2020. 820-830
  • Yoshikazu Terada, Ryoma Hirose. Fast generalization error bound of deep learning without scale invariance of activation functions. Neural Networks. 2020. 129. 344-358
  • Hidetoshi Shimodaira, Yoshikazu Terada. Selective Inference for Testing Trees and Edges in Phylogenetics. FRONTIERS IN ECOLOGY AND EVOLUTION. 2019. 7
MISC (4):
  • Kosuke Morikawa, Hiromichi Nagao, Shin-ichi Ito, Yoshikazu Terada, Shin'ichi Sakai, Naoshi Hirata. Prediction of aftershocks with Gaussian process regression. 2020
  • Yoshikazu Terada, Hidetoshi Shimodaira. Selective inference after feature selection via multiscale bootstrap. 2019
  • Yoshikazu Terada, Hidetoshi Shimodaira. Selective inference for the problem of regions via multiscale bootstrap. 2017
  • Kei Hirose, Yoshikazu Terada. Simple structure estimation via prenet penalization. 2016
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