研究分野
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経済統計
2025/10/16 更新
Unsupervised tree boosting for learning probability distributions
Awaya, Naoki, Ma, Li
Journal of Machine Learning Research 25 ( 198 ) 1 - 52 2024年
Hidden Markov Pólya Trees for High-Dimensional Distributions
Awaya, N., Ma, L.
Journal of the American Statistical Association 119 ( 545 ) 189 - 201 2024年
Particle rolling MCMC with double-block sampling
Awaya, N., Omori, Y.
Japanese Journal of Statistics and Data Science 6 ( 1 ) 305 - 335 2023年
Tree-based Methods for Learning Probability Distributions
Awaya, Naoki
2022年
Tree boosting for learning probability measures
Awaya, Naoki, Ma, Li
arXiv preprint arXiv:2101.11083 1 2021年
Comparing estimation methods of non-stationary errors-in-variables models
Kunitomo, N., Awaya, N., Kurisu, D.
Japanese Journal of Statistics and Data Science 3 ( 1 ) 73 - 101 2020年
Particle rolling MCMC
Awaya, Naoki, Omori, Yasuhiro, others
2019年
Simultaneous multivariate Hawkes-type point processes and their application to financial markets
Kunitomo, N., Kurisu, D., Awaya, N.
Japanese Journal of Statistics and Data Science 1 ( 2 ) 297 - 332 2018年
複雑データに対するベイズモデリングの基盤創出
日本学術振興会 科学研究費助成事業
研究期間:
菅澤 翔之助, 入江 薫, 小林 弦矢, 橋本 真太郎, 中川 智之, 粟屋 直, 村上 大輔
Click to view the Scopus page. The data was downloaded from Scopus API in October 15, 2025, via http://api.elsevier.com and http://www.scopus.com .