Graduate School of Social Data Science
SHIROTA Shinichiro

Papers

1. Fast Spatio‐Temporally Varying Coefficient Modeling With Reluctant Interaction Selection
Daisuke Murakami, Shinichiro Shirota, Seiji Kajita, Mami Kajita
Geographical Analysis Vol.57,No.3,pp.521-539 2025.4
doi Link
2. Bayesian state-space synthetic control method for deforestation baseline estimation for forest carbon credits (Peer-reviewed)
Keisuke Takahata, Hiroshi Suetsugu, Keiichi Fukaya, Shinichiro Shirota
Environmental Data Science Vol.3 2024.2
doi Link
3. Preferential sampling for bivariate spatial data (Peer-reviewed)
Shinichiro Shirota, Alan E. Gelfand
Spatial Statistics Vol.51,pp.100674 2022.10
doi
4. Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data (Peer-reviewed)
Shinichiro Shirota, Andrew O. Finley, Bruce D. Cook, Sudipto Banerjee
Environmetrics Vol.34,No.1 2022.8
doi Link Link
5. The role of odds ratios in joint species distribution modeling (Peer-reviewed)
Alan E. Gelfand, Shinichiro Shirota
Environmental and Ecological Statistics Vol.28,No.2,pp.287-302 2021.2
doi Link Link
6. Analyzing car thefts and recoveries with connections to modeling origin–destination point patterns (Peer-reviewed)
Shinichiro Shirota, Alan. E. Gelfand, Jorge Mateu
Spatial Statistics Vol.38,pp.100440 2020.8
doi
7. Preferential sampling for presence/absence data and for fusion of presence/absence data with presence‐only data (Peer-reviewed)
Alan E. Gelfand, Shinichiro Shirota
Ecological Monographs Vol.89,No.3 2019.6
doi Link Link
8. Scalable inference for space‐time Gaussian Cox processes (Peer-reviewed)
Shinichiro Shirota, Sudipto Banerjee
Journal of Time Series Analysis Vol.40,No.3,pp.269-287 2019.4
doi Link Link
9. Spatial Joint Species Distribution Modeling (Peer-reviewed)
Shinichiro Shirota, Alan E. Gelfand, Sudipto Banerjee
Statistica Sinica 2019
doi Link
10. Approximate Bayesian Computation and Model Assessment for Repulsive Spatial Point Processes (Peer-reviewed)
Shinichiro Shirota, Alan E. Gelfand
Journal of Computational and Graphical Statistics Vol.26,No.3,pp.646-657 2017.7
doi Link
11. Cholesky realized stochastic volatility model (Peer-reviewed)
Shinichiro Shirota, Yasuhiro Omori, Hedibert. F. Lopes, Haixiang Piao
Econometrics and Statistics Vol.3,pp.34-59 2017.7
doi
12. Space and circular time log Gaussian Cox processes with application to crime event data (Peer-reviewed)
Shinichiro Shirota, Alan E. Gelfand
The Annals of Applied Statistics Vol.11,No.2 2017.6
doi Link
13. Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach (Peer-reviewed)
Kota Ogasawara, Shinichiro Shirota, Genya Kobayashi
Cliometrica Vol.12,No.1,pp.1-31 2016.8
doi Link Link
14. Realized stochastic volatility with leverage and long memory (Peer-reviewed)
Shinichiro Shirota, Takayuki Hizu, Yasuhiro Omori
Computational Statistics & Data Analysis Vol.76,pp.618-641 2014.8
doi

▼display all

Research Projects

No. Research subject Research item(Awarding organization, System name) Year
1. 複雑・多様化する空間データのベイズモデリング
基盤研究(C)
( Awarding organization: 日本学術振興会 System name: 科学研究費助成事業 )
2026.4 - 2031.3