| Comparing estimation methods of non-stationary errors-in-variables models N Kunitomo, N Awaya, D Kurisu Japanese Journal of Statistics and Data Science 3, 73-101, 2020 | 5 | 2020 |
| Some Properties of Estimation Methods for Structural Relationships in Non-stationary Errors-in-Variables Models N Kunitomo, N Awaya, D Kurisu SDS-3, MIMS, Meiji University, 2017 | 5 | 2017 |
| Hidden Markov Pólya trees for high-dimensional distributions N Awaya, L Ma Journal of the American Statistical Association 119 (545), 189-201, 2024 | 3 | 2024 |
| Unsupervised tree boosting for learning probability distributions N Awaya, L Ma Journal of Machine Learning Research 25 (198), 1-52, 2024 | 3 | 2024 |
| Tree boosting for learning probability measures N Awaya, L Ma arXiv preprint arXiv:2101.11083 1046, 2021 | 3 | 2021 |
| Particle rolling MCMC N Awaya, Y Omori CIRJE F-Series, 2019 | 2 | 2019 |
| Simultaneous multivariate Hawkes-type point processes and their application to financial markets N Kunitomo, D Kurisu, N Awaya Japanese Journal of Statistics and Data Science 1 (2), 297-332, 2018 | 1 | 2018 |
| Generative modeling of density regression through tree flows Z Wang, N Awaya, L Ma arXiv preprint arXiv:2406.05260, 2024 | | 2024 |
| Particle rolling MCMC with double-block sampling N Awaya, Y Omori Japanese Journal of Statistics and Data Science 6 (1), 305-335, 2023 | | 2023 |
| Tree-based Methods for Learning Probability Distributions N Awaya Duke University, 2022 | | 2022 |
| Supplementary Materials for “Hidden Markov Pólya trees for high-dimensional distributions” N Awaya, L Ma | | |
