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Co-authors

Satoshi HaraProfessor, The University of Electro-CommunicationVerified email at uec.ac.jp
Kengo KatoDepartment of Statistics and Data Science, Cornell UniversityVerified email at cornell.edu
Masaaki ImaizumiThe University of Tokyo / RIKEN AIPVerified email at g.ecc.u-tokyo.ac.jp
Antonio F. GalvaoMichigan State UniversityVerified email at msu.edu
Luciano de CastroUniversity of IowaVerified email at uiowa.edu

Hirofumi Ota

Hirofumi Ota

University of Tokyo

Verified email at g.ecc.u-tokyo.ac.jp - Homepage

Mathematical Statistics Econometrics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Quantile regression approach to conditional mode estimation H Ota, K Kato, S Hara Electronic Journal of Statistics 13 (2), 3120-3160, 2019	59	2019
Post selection inference with incomplete maximum mean discrepancy estimator M Yamada, D Wu, YHH Tsai, I Takeuchi, R Salakhutdinov, K Fukumizu arXiv preprint arXiv:1802.06226, 2018	23	2018
Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension M Imaizumi, H Ota, T Hamaguchi Neural Computation 34 (6), 1448-1487, 2022	12	2022
Quantile Approach to Intertemporal Consumption with Multiple Assets LI de Castro, AF Galvao, H Ota Available at SSRN, 2023	2	2023
SEMI-PARAMETRIC ESTIMATION OF WEIGHTED AVERAGE DERIVATIVES OF MODAL REGRESSION H OHTA

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Articles 1–5