Robust Bayesian inference via γ-divergence T Nakagawa, S Hashimoto Communications in Statistics-Theory and Methods 49 (2), 343-360, 2020 | 34* | 2020 |
Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings T Nakagawa, H Watanabe, M Hyodo Journal of Multivariate Analysis 184, 104756, 2021 | 9 | 2021 |
EPMC estimation in discriminant analysis when the dimension and sample sizes are large T Tonda, T Nakagawa, H Wakaki Hiroshima Mathematical Journal 47 (1), 43-62, 2017 | 8 | 2017 |
Measure for departure from cumulative partial symmetry for square contingency tables with ordered categories Y Saigusa, M Takami, A Ishii, T Nakagawa, S Tomizawa Journal of Statistics: Advances in Theory and Applications 21 (1), 53-70, 2019 | 6 | 2019 |
Extension of generalized proportional reduction in variation measure for two-way contingency tables T Momozaki, Y Wada, T Nakagawa, S Tomizawa Behaviormetrika 50 (1), 385-398, 2023 | 4 | 2023 |
Geometric mean type measure of marginal homogeneity for square contingency tables with ordered categories T Nakagawa, T Takei, A Ishii, S Tomizawa Journal of Mathematics and Statistics 16 (1), 170-175, 2020 | 4 | 2020 |
Estimating the probabilities of misclassification using CV when the dimension and the sample sizes are large T Nakagawa Hiroshima Mathematical Journal 48 (3), 373-411, 2018 | 4 | 2018 |
Measure of departure from cumulative local symmetry for square contingency tables having ordered categories Y Saigusa, T Takada, A Ishii, T Nakagawa, S Tomizawa Biometrical Letters 57 (1), 23-35, 2020 | 3 | 2020 |
Integrating Hawkes process and biomass models to capture impulsive population dynamics T Nakagawa, S Subbey, HK Solvang Dynamics of Continuous, Discrete and Impulsive Systems Series B …, 2019 | 3 | 2019 |
An asymptotic expansion for the distribution of euclidean distance-based discriminant function in normal populations T Nakagawa, S Ohtsuka Journal of Statistical Theory and Practice 16 (4), 62, 2022 | 2 | 2022 |
Improving the Accuracy of Estimating Indexes in Contingency Tables Using Bayesian Estimators T Momozaki, K Cho, T Nakagawa, S Tomizawa Journal of Statistical Theory and Practice 18 (1), 1, 2024 | 1* | 2024 |
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Generalized Cramér’s coefficient via f-divergence for contingency tables W Urasaki, T Nakagawa, T Momozaki, S Tomizawa Advances in Data Analysis and Classification, 1-18, 2023 | 1 | 2023 |
Dynamic spatio-temporal zero-inflated Poisson models for predicting capelin distribution in the Barents Sea S Sugasawa, T Nakagawa, HK Solvang, S Subbey, S Alrabeei Japanese Journal of Statistics and Data Science 6 (1), 1-20, 2023 | 1 | 2023 |
Robustness of Bayesian ordinal response model against outliers via divergence approach T Momozaki, T Nakagawa arXiv preprint arXiv:2305.07553, 2023 | 1 | 2023 |
An index for the degree and directionality of asymmetry for square contingency tables with ordered categories T Momozaki, T Nakagawa, K Iki, S Tomizawa Austrian Journal of Statistics 52 (1), 62-71, 2023 | 1 | 2023 |
Robustness against outliers in ordinal response model via divergence approach T Momozaki, T Nakagawa arXiv preprint arXiv:2209.11965, 2022 | 1 | 2022 |
Measures of Departure from Local Marginal Homogeneity for Square Contingency Tables K Saito, N Takakubo, A Ishii, T Nakagawa, S Tomizawa Symmetry 14 (6), 1075, 2022 | 1 | 2022 |
Improved approximate unbiased estimators of the measure of departure from partial symmetry for square contingency tables T Nakagawa, R Namba, K Iki, S Tomizawa SUT journal of Mathematics 57 (2), 167-183, 2021 | 1 | 2021 |
Two-dimensional index of departure from the symmetry model for square contingency tables with nominal categories T Momozaki, T Nakagawa, A Ishii, Y Saigusa, S Tomizawa Symmetry 13 (11), 2031, 2021 | 1 | 2021 |