Research Areas
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Economic statistics
AWAYA, Naoki
Scopus Paper Info
Paper Count: 2 Citation Count: 0 h-index: 0
Google Scholar Information (Citations per year)
Affiliation
Faculty of Political Science and Economics, School of Political Science and Economics
Job title
Assistant Professor(tenure-track)
Homepage URL
Papers
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Unsupervised tree boosting for learning probability distributions
Awaya, Naoki, Ma, Li
Journal of Machine Learning Research 25 ( 198 ) 1 - 52 2024
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Hidden Markov Pólya trees for high-dimensional distributions
Awaya, Naoki, Ma, Li
Journal of the American Statistical Association 119 ( 545 ) 189 - 201 2024
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Particle rolling MCMC with double-block sampling
Awaya, Naoki, Omori, Yasuhiro
Japanese Journal of Statistics and Data Science 6 ( 1 ) 305 - 335 2023
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Tree-based Methods for Learning Probability Distributions
Awaya, Naoki
2022
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Tree boosting for learning probability measures
Awaya, Naoki, Ma, Li
arXiv preprint arXiv:2101.11083 1 2021
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Comparing estimation methods of non-stationary errors-in-variables models
Kunitomo, Naoto, Awaya, Naoki, Kurisu, Daisuke
Japanese Journal of Statistics and Data Science 3 73 - 101 2020
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Particle rolling MCMC
Awaya, Naoki, Omori, Yasuhiro, others
2019
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Simultaneous multivariate Hawkes-type point processes and their application to financial markets
Kunitomo, Naoto, Kurisu, Daisuke, Awaya, Naoki
Japanese Journal of Statistics and Data Science 1 297 - 332 2018
Syllabus
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Intermediate Seminar (Mathematical Foundations of Data Science) [J] 01
School of Political Science and Economics
2025 fall semester
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Intermediate Seminar (Introduction to Set Theory and Topology) [J] 01
School of Political Science and Economics
2025 fall semester
Click to view the Scopus page. The data was downloaded from Scopus API in April 27, 2025, via http://api.elsevier.com and http://www.scopus.com .