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I'm an Associate Professor, Faculty and Graduate School of Social Data Science, Hitotsubashi University, Tokyo
Google Scholar: https://scholar.google.com/citations?user=ou52CGAAAAAJ&hl=ja
shinichiro.shirota(at)r.hit-u.ac.jp
Profile
2023/4 ~ present Associate Professor, Faculty and Graduate School of Social Data Science, Hitotsubashi University, Tokyo
2022/4 ~ 2023/3 Associate Professor, Center for the Promotion of Social Data Science Education and Research, Hitotsubashi University, Tokyo
2020/11~ present Visiting Researcher, RIKEN Center for Brain Science (CBS), Tokyo
2020/4 ~ 2022/3 Assistant Professor (for Statistics), Department of Commerce, Meiji University, Tokyo
2020/4 ~ 2022/3 Technical Advisor, Yahoo Japan Research, Tokyo
2020/4 ~ 2021/3 Visiting Researcher, AIP (advanced intelligence project) center, RIKEN, Tokyo
2019/4 ~ 2020/3 Postdoctoral researcher, AIP (advanced intelligence project) center, RIKEN, Tokyo
2017/7 ~ 2019/3 Postdoc Scholar, Department of Biostatistics, University of California, Los Angeles
Education
2013/7 ~ 2017/5 PhD in Statistics, Department of Statistical Science, Duke University
Lab Member
M1：Akitoshi Kanetaka, Yusuke Terashima
M2：Tatsuya Uchida
Research Interests
・Statistical Methodology: Spatial/spatio-temporal statistics, Bayesian statistics
・Application: Environmental Science, Social Science, Neuroscience
Publication
See my Google scholar page
Takahata, K., H. Suetsugu, K. Fukaya and S. Shirota (2024) "Bayesian State-Space SCM for Deforestation Baseline Estimation for Forest Carbon Credit", Environmental Data Science
Takahata, K., H. Suetsugu, K. Fukaya and S. Shirota (2022) "Bayesian State-Space SCM for Deforestation Baseline Estimation for Forest Carbon Credit", NeurIPS 2022, Tackling Climate Change with Machine Learning workshop (Best paper)
Shirota, S., A. O. Finley, B. D. Cook and S. Banerjee (2022) "Conjugate Sparse Plus Low Rank Models for Efficient Bayesian Interpolation of Large Spatial Data", Environmetrics, doi:10.1002/env.2748
Shirota, S and A. E. Gelfand (2022) "Preferential Sampling for Bivariate Spatial Data", Spatial Statistics, vol 51, 100674
Gelfand, A. E. and S. Shirota (2021) "The Role of Odds Ratios in Joint Species Distribution Modeling" Environmental and Ecological Statistics, vol 28, p.287-302.
Shirota, S., A. E. Gelfand, and J. Mateu (2020) "Analyzing Car Thefts and Recoveries with Connections to Modeling Origin-Destination Point Patterns." Spatial Statistics, vol 38, 100440, arXiv
Gelfand, A. E. and S. Shirota (2019) "Preferential sampling for presence/absence data and for fusion of presence/absence data with presence-only data." Ecological Monographs, vol 89, e01372, arXiv, published version
Shirota, S. and S. Banerjee (2019) "Scalable Inference for Space-Time Gaussian Cox Processes." Journal of Time Series Analysis, vol 40, p.269-287., arXiv
Shirota, S., A. E. Gelfand and S. Banerjee (2019) "Spatial Joint Species Distribution Modeling with Dirichlet Processes." Statistica Sinica, vol 29, p.1127-1154., arXiv
Ogasawara, K., S. Shirota, and G Kobayashi (2018) "Public Health Improvements and Mortality in Interwar Tokyo: A Bayesian Disease Mapping Approach." Cliometrica, vol 12, p.1-31.
Shirota, S. and A. E. Gelfand (2017) "Approximate Bayesian Computation and Model Validation for Spatial Repulsive Point Processes.", Journal of Computational and Graphical Statistics, vol 26, p.646-657. arXiv
Shirota, S., Y. Omori., H. F. Lopes, and H. Piao (2017) "Cholesky Realized Stochastic Volatility Model." Econometrics and Statistics, vol 3, p.34-59. accepted version
Shirota, S. and A. E. Gelfand. (2017) "Space and Circular Time Log Gaussian Cox Processes with Application to Crime Event Data." Annals of Applied Statistics, Vol. 11, No. 2, 481-503. arXiv
Shirota, S., T. Hizu., and Y. Omori. (2014) "Realized Stochastic Volatility with Leverage and Long Memory.", Computational Statistics & Data Analysis, vol 76, p.618-641.
