Masahiro Tanaka. Parameterizations for Gradient-based Markov Chain Monte Carlo on the Stiefel Manifold: A Comparative Study. Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning (CACML 2024) (ACM International Conference Proceedings Series), forthcoming. 2024
Masahiro Tanaka. Bayesian Singular Value Regularization via a Cumulative Shrinkage Process. Communications in Statistics - Theory and Methods. 2022. 51. 16. 5566-5589
Masahiro Tanaka. Bayesian Matrix Completion Approach to Causal Inference with Panel Data. Journal of Statistical Theory and Practice. 2021. 15. 2. Article:49
Masahiro Tanaka. On the Likelihood of Local Projection Models. arXiv preprint, arXiv:2005.12620. 2020
Masahiro Tanaka. Bayesian Inference of Local Projections with Roughness Penalty Priors. Computational Economics. 2020. 55. 2. 629-651
Generalized Posterior Calibration via Sequential Monte Carlo Sampler
(2024 International Conference on Computing, Machine Learning and Data Science (CMLDS 2024) 2024)
Parameterizations for Gradient-based Markov Chain Monte Carlo on the Stiefel Manifold: A Comparative Study
(2024 3rd Asia Conference on Algorithms, Computing and Machine Learning (CACML 2024) 2024)
Discussion on "Impact of Trade Openness on Output Volatility: Case from the Japanese Manufacturing Industry" by Sangho Kim and Kyuhyong Kim
(日本応用経済学会2023年度春季大会 2023)