Sonobe, N., Momozaki, T., and Nakagawa, T. (2025). Sampling from Density power divergence-based Generalized posterior distribution via Stochastic optimization. Statistics and Computing, accepted (arXiv:2501.07790).
Wakayama, R., Momozaki, T., and Ando, S. (2025). Improving Maximum Tolerated Dose Selection in Model-Assisted Designs for Phase I Trials through Bayesian Dose-Response Model. Pharmaceutical Statistics 24, e70046 [open access] (publication, arXiv).
Orihara, S., Momozaki, T., and Nakagawa, T. (2025). General Bayesian inference for causal effects using covariate balancing procedure. Biometrical Journal 67, e70085 (publication, arXiv).
Ando, S., Momozaki, T., Masusaki, Y., and Tomizawa, S. (2024). An index for measuring degree of departure from symmetry for ordinal square contingency tables. Journal of the Korean Statistical Society 53, 883-905 (publication).
Momozaki, T., Cho, K., Nakagawa, T., and Tomizawa, S. (2024). Improving the accuracy of estimating indexes in contingency tables using Bayesian estimators. Journal of the Statistical Theory and Practice 18, online published (publication, arXiv).
Urasaki, W., Nakagawa, T., Momozaki, T., Tomizawa, S. (2024). Generalized Cramer's coefficient via f-divergence for contingency tables. Advances in Data Analysis and Classification 18, 893-910 [open access] (publication, arXiv).
Momozaki, T., Wada, Y., Nakagawa, T., and Tomizawa, S. (2023). Extension of generalized proportional reduction in variation measure for two-way contingency tables. Behaviormetrika 50, 385-398 (publication).
Momozaki, T., Nakagawa, T., Iki, K., and Tomizawa, S. (2023). An index for the degree and directionality of asymmetry for square contingency tables with ordered categories. Austrian Journal of Statistics 52, 62-71 (publication).
Momozaki, T., Nakagawa, T., Ishii, A., Saigusa, Y., and Tomizawa, S. (2021). Two-dimensional index of departure from the symmetry model for square contingency tables with nominal categories. Symmetry; Special Issue "Advances in Quasi-Symmetry Models" 13, 2031 (publication).
Momozaki, T., Sugasawa, S., Nakagawa, T., Solvang, K. H., and Subbey, S. (2025). Robust Spatio-Temporal Distributional Regression. (arXiv:2508.05041).
Orihara, S., Momozaki, T., and Sugasawa, S. (2025). Bayesian Doubly Robust Causal Inference via Posterior Coupling. (arXiv:2506.04868).
Iijima, T., Momozaki, T., and Ando, S. (2025). On window mean survival time with interval-censored data. (arXiv:2502.20011) submitted.
Orihara, S. and Momozaki, T. (2024). Bayesian-based Propensity Score Subclassification Estimator. (arXiv:2410.15102).
Momozaki, T., Nakagawa, T., Sugasawa, S., and Solvang, K. H. (2023). Semiparametric Copula estimation for spatially correlated multivariate mixed outcomes: analyzing visual sightings of fin whales from line transect survey. (arXiv:2312.12710) submitted.
Momozaki, T. and Nakagawa, T. (2023). Robustness of Bayesian ordinal response model against outliers via divergence approach. (arXiv:2305.07553).
Momozaki, T. and Nakagawa, T. (2022). Robustness against outliers in ordinal response model via divergence approach. (arXiv:2209.11965) submitted.
研究活動スタート支援 (24K23870): 「大規模データにおける複雑な従属構造の高速かつ有効なベイズ推論の開発」
若手研究 (25K211670): 「水産資源のサイズ分布の動態を解明する先進的時空間分布回帰モデルの開発と応用」
論文賞, 2025年度日本分類学会, 2025/05.
最優秀発表賞, 応用統計学会2023年年会, 2023/04.
(JSAS Best presentation award for student, Japanese Society of Applied Statistics 2023 Meeting, April 2023)
敢闘賞, 日本オペレーションズ・リサーチ学会2022年度データ解析コンペティション (OR部門), 2023/02
優秀報告賞, 2022年度統計関連学会連合大会, 2022/09.
(Best Presentation Award, Japanese Joint Statistical Meeting 2022, September 2022)