Research Areas
-
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
-
Unsupervised tree boosting for learning probability distributions
Awaya, Naoki, Ma, Li
Journal of Machine Learning Research 25 ( 198 ) 1 - 52 2024
-
Hidden Markov Pólya trees for high-dimensional distributions
Awaya, Naoki, Ma, Li
Journal of the American Statistical Association 119 ( 545 ) 189 - 201 2024
-
Particle rolling MCMC with double-block sampling
Awaya, Naoki, Omori, Yasuhiro
Japanese Journal of Statistics and Data Science 6 ( 1 ) 305 - 335 2023
-
Tree-based Methods for Learning Probability Distributions
Awaya, Naoki
2022
-
Tree boosting for learning probability measures
Awaya, Naoki, Ma, Li
arXiv preprint arXiv:2101.11083 1 2021
-
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
-
Particle rolling MCMC
Awaya, Naoki, Omori, Yasuhiro, others
2019
-
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
-
Intermediate Seminar (Introductory Bayesian Statistics) [J] 01
School of Political Science and Economics
2024 fall semester
-
Intermediate Seminar (Introduction to Set Theory and Topology) [J] 01
School of Political Science and Economics
2024 fall semester
Click to view the Scopus page. The data was downloaded from Scopus API in February 04, 2025, via http://api.elsevier.com and http://www.scopus.com .