Takemi Yanagimoto, Yoichi Miyata. A pair of novel priors for improving and extending the conditional MLE. Journal of Statistical Planning and Inference. 2023. 231. 106117-106117(published online)
Yoichi Miyata, Takayuki Shiohama, Toshihiro Abe. Identifiability of Asymmetric Circular and Cylindrical Distributions. Sankhya A. 2022
Toshihiro Abe, Tomoaki Imoto, Takayuki Shiohama, Yoichi Miyata. On Some Flexible Models for Circular, Toroidal, and Cylindrical Data. Forum for Interdisciplinary Mathematics. 2022. 229-243
Toshihiro Abe, Yoichi Miyata, Takayuki Shiohama. Bayesian Estimation for Mode and Anti-Mode Preserving Circular Distributions. Econometrics and Statistics. 2021
宮田 庸一, Yoichi Miyata, 高崎経済大学, Takasaki City University of Economics. 近似ファクターモデル : 共通ファクターおよびファクター数の推定に関するサーベイ. 高崎経済大学論集 = The Economic Journal of Takasaki City University of Economics. 2013. 55. 4. 67-76
Applications of Laplace’s method in Bayesian analysis and related topics, in Sugaku Expositions 35(2)
American Mathematical Society 2022
On some flexible models for circular, toroidal, and cylindrical data, in Directional Statistics for Innovative Applications, a Florence Nightingale Bicentennial celebration volume
Springer 2022
統計学がよくわかる本
アイ・ケイコーポレーション (旧 弘学出版) 2012
講演・口頭発表等 (24件):
A hidden Markov model whose components are the Weibull-extended sine skewed von Mises distributions
(16th International Conference on the ERCIM WG on CMStatistics 2023 2023)
Asymptotic properties of bridge estimators in linear models under heteroscedasticity
(Bergamo-Waseda Workshop on Inference for Stochastic Processes and Applications 2023)
An extended sine-skewed circular distribution and its application to a model on a cylinder
(Luxembourg-Waseda Conference on Modelling and Inference for Complex data 2023)
An extension of Johnson-Wehrly-type cylindrical distributions
(15th International Conference on the ERCIM WG on CMStatistics 2022 2022)