| A fast algorithm for optimizing ridge parameters in a generalized ridge regression by minimizing a model selection criterion M Ohishi, H Yanagihara, Y Fujikoshi Journal of Statistical Planning and Inference 204, 187-205, 2020 | 16 | 2020 |
| Coordinate optimization for generalized fused Lasso M Ohishi, K Fukui, K Okamura, Y Itoh, H Yanagihara Communications in Statistics-Theory and Methods 50 (24), 5955-5973, 2021 | 11* | 2021 |
| Spatio-Temporal Adaptive Fused Lasso for Proportion Data M Yamamura, M Ohishi, H Yanagihara Intelligent Decision Technologies: Proceedings of the 13th KES-IDT 2021 …, 2021 | 4 | 2021 |
| Coordinate descent algorithm of generalized fused Lasso logistic regression for multivariate trend filtering M Ohishi, M Yamamura, H Yanagihara Japanese Journal of Statistics and Data Science 5 (2), 535-551, 2022 | 3 | 2022 |
| Ridge parameters optimization based on minimizing model selection criterion in multivariate generalized ridge regression M Ohishi Hiroshima Mathematical Journal 51 (2), 177-226, 2021 | 2 | 2021 |
| Spatio-temporal analysis of rates derived from count data using generalized fused lasso poisson model M Yamamura, M Ohishi, H Yanagihara International KES Conference on Intelligent Decision Technologies, 225-234, 2023 | 1 | 2023 |
| Optimizations for Categorizations of Explanatory Variables in Linear Regression via Generalized Fused Lasso M Ohishi, K Okamura, Y Itoh, H Yanagihara Intelligent Decision Technologies, 457-467, 2021 | 1 | 2021 |
| Coordinate Descent Algorithm for Generalized Group Fused Lasso M Ohishi, K Okamura, Y Itoh, H Yanagihara Hiroshima Statistical Research Group Technical Report, TR-No. 21-02, 2021 | 1* | 2021 |
| Equivalence between adaptive Lasso and generalized ridge estimators in linear regression with orthogonal explanatory variables after optimizing regularization parameters M Ohishi, H Yanagihara, S Kawano Annals of the Institute of Statistical Mathematics 72 (6), 1501-1516, 2020 | 1 | 2020 |
| Minimization Algorithm of Model Selection Criterion for Optimizing Tuning Parameter in Lasso Estimator When Explanatory Variables are Orthogonal (in Japanese) M Ohishi, H Yanagihara RIMS Kokyuroku 2047 (Bayes Inference and Its Related Topics), 124-140, 2017 | 1* | 2017 |
| Generalized Fused Lasso for Grouped Data in Generalized Linear Models M Ohishi Hiroshma Statistical Research Group Technical Report, TR-No. 24-02, 2024 | | 2024 |
| An -norm constrained matrix optimization via extended discrete first-order algorithms R Oda, M Ohishi, Y Suzuki, H Yanagihara Hiroshima Mathematical Journal 53 (3), 251-267, 2023 | | 2023 |
| Geographically Weighted Sparse Group Lasso: Local and Global Variable Selections for GWR M Ohishi, K Kirishima, K Okamura, Y Itoh, H Yanagihara International KES Conference on Intelligent Decision Technologies, 183-192, 2023 | | 2023 |
| trec: An R package for trend estimation and classification to support integrated ecosystem assessment of the marine ecosystem and environmental factors HK Solvang, M Ohishi SoftwareX 21, 101309, 2023 | | 2023 |
| Additive Poisson regression via forced categorical covariates and generalized fused Lasso M Yamamura, M Ohishi, H Yanagihara Procedia Computer Science 225, 1987-1996, 2023 | | 2023 |
| Stable Estimation of the Slant Parameter in Skew Normal Regression via an MM Algorithm and Ridge Shrinkage M Ohishi, H Yanagihara, H Wakaki, M Ono Hiroshima Statistical Research Group Technical Report, TR-No. 22-05, 2022 | | 2022 |
| Optimization of Generalized Criterion for Selecting Ridge Parameters in Generalized Ridge Regression M Ohishi, H Yanagihara, H Wakaki International Conference on Intelligent Decision Technologies, 267-278, 2020 | | 2020 |
| A Fast Optimization Method for Additive Model via Partial Generalized Ridge Regression K Fukui, M Ohishi, M Yamamura, H Yanagihara Intelligent Decision Technologies: Proceedings of the 12th KES International …, 2020 | | 2020 |
Shuichi KawanoProfessor, Faculty of Mathematics, Kyushu University確認したメール アドレス: math.kyushu-u.ac.jp
