Current research topics: Bayesian statistics, Hidden Markov models, tree-based models, Monte Carlo methods
Accepted papers
Kunitomo N, Kurisu D, and Awaya N. (2018). Simultaneous multivariate Hawkes-type point processes and their application to financial markets. Japanese Journal of Statistics and Data Science, 1(2), 297-332.
Awaya N and Omori Y (2022) Particle rolling MCMC with double-block sampling. Japanese Journal of Statistics and Data Science (in press) arXiv:1709.09280.
Awaya N and Ma L (2024) Hidden Markov Pólya trees for high-dimensional distributions. Journal of the American Statistical Association, Theory and Methods. arXiv:2011.03121. R package
Awaya N and Ma L (2024) Tree boosting for learning probability measures. Journal of Machine Learning Research. arXiv:2101.11083. R package
Awaya N, Xu Y, and Ma L. (2025). Two-sample comparison through additive tree models for density ratios. arXiv:2508.03059. R package
Working papers
Wang Z, Awaya N, and Ma L (2024). Generative modeling of density regression through tree flows. arXiv:2406.05260
The programs to implement the proposed methods are available on GitHub.