- Name: Yoichi MIYATA
- Nationality: Japan
- Date of Birth: July 1st, 1974
Education
- 1993-1997 B.S. student in School of Education, Waseda University
- 1997-1999 M.S. student in
Mathematical Sciences, Waseda University
1. Y, Miyata. (2018). Laplace approximations using $n^{\alpha}$-consistent estimators, Journal of Statistical Planning and Inference, 194, 25-31. https://doi.org/10.1016/j.jspi.2017.10.003
2. Masanari Iida, Yoichi Miyata, and Takayuki Shiohama. (2017). Bootstrap
Estimation and Model Selection for Multivariate Normal Mixtures using Parallel
Computing with Graphics Processing Units, (Published online in Communications
in Statistics - Simulation and Computation)
http://dx.doi.org/10.1080/03610918.2017.1311916
3. Y, Miyata. (2017). Laplace approximations and Bayesian Information criteria
in misspecified models (Published online in Communications in Statistics - Theory and Methods).
http://dx.doi.org/10.1080/03610926.2017.1295079
4. Y, Miyata. (2017). Laplace approximations and their application to Bayesian
statistics, (in Japanese), to appear in Suugaku
5. Y, Miyata. (2013). An application of the bootstrap information criterion
to educational data (in Japanese), Journal of Mathematics Education Society
of Waseda University, 31,1, 25-31.
6. Y, Miyata. (2011). Maximum likelihood estimators in finite mixture models
with censored data, Journal of Statistical Planning and Inference, 141, 56-64.
7. Y, Miyata. (2010). Approximate Marginal Posterior Distributions Using
Asymptotic Modes, Communications in Statistics----Theory and Methods.
8. Y, Miyata (2010). Laplace Approximations to Means and Variances with
Asymptotic Modes, Journal of Statistical Planning and Inference.
Supplemental Files: Detailed Derivation of Laplace Approximations Using Asymptotic Modes
9. Y, Miyata (2008). Higher Order Expansions for Posterior Distributions Using Posterior Modes,
Journal of the Japan Statistical Society
10. Y, Miyata (2008). 少人数クラスにおける数学基礎学力について, 早稲田大学本庄高等学院研究紀要
11. Y, Miyata. (2004). Fully Exponential Laplace Approximations Using Asymptotic
Modes, 99, 1037-1049,
Journal of the American Statistical Association.
12. Y, Miyata. (2002). Differentiability of Densities, 25, No.1, 153-163,
Tokyo Journal of Mathematics.
13. Y, Miyata. (2001). The Lower Bound for MSE In Statistical Prediction Theory, 31, 111-127,
Journal of the Japan Statistical Society.
- Statistical Analysis
- Asymptotic Statistics
- MCMC
- Statistical Learning Theory
- Mathematics Education
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