Recent Working Papers
Recent Working Papers
Tanaka, M. (2025). "Quasi-Bayesian Local Projections: Simultaneous Inference and Extension to the Instrumental Variable Method", arXiv preprint, arXiv:2503.20249. Link
Tanaka, M. (2025). "Quasi-Bayesian Local Projections: Simultaneous Inference and Extension to the Instrumental Variable Method", arXiv preprint, arXiv:2503.20249. Link
Tanaka, M. (forthcoming). "Modified Delayed Acceptance MCMC for Quasi-Bayesian Inference with Linear Moment Conditions", Proceedings of the 15th International Conference on Mathematics, Actuarial Science, Computer Science, and Statistics (MACS 2025), IEEE. [arXiv:2511.17117]. Link
Tanaka, M. (forthcoming). "Delayed Acceptance Markov Chain Monte Carlo for Robust Bayesian Analysis", Springer Proceedings in Mathematics and Statistics, Springer. [arXiv:2504.11761]. Link
Tanaka, M. (2025). "Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning", Proceedings of the 2025 International Conference on Data Science and Intelligent Systems (DSIS 2025), Article 65, pp. 449-455, IEEE. Link
Tanaka, M. (2025). "Generalized Posterior Calibration via Sequential Monte Carlo Sampler", Proceedings of the 2024 6th Asia Conference on Machine Learning and Computing (ACMLC 2024), pp. 62-68, ACM. Excellent Oral Presentation. Link
Tanaka, M. (2024). "Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration", Proceedings of the 7th International Conference on Data Science and Its Applications 2024 (ICoDSA 2024), pp. 515-521, IEEE. Best Paper Award. Link
Tanaka, M. (2024). "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), pp. 397-402, ACM. Link
Tanaka, M. (2022). "Bayesian Singular Value Regularization via a Cumulative Shrinkage Process", Communications in Statistics - Theory and Methods, Volume 51, Issue 16, pp. 5566-5589, Taylor & Francis. Link
Tanaka, M. (2021). “Bayesian Matrix Completion Approach to Causal Inference with Panel Data”, Journal of Statistical Theory and Practice, Volume 15, Article Number 49, Springer. Link
For the complete list, please refer to Researchmap.