| 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
|
| 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
|
| 3. |
Preferential sampling for bivariate spatial data (Peer-reviewed) Shinichiro Shirota, Alan E. Gelfand
Spatial Statistics Vol.51,pp.100674 2022.10
|
| 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
|
| 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
|
| 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
|
| 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
|
| 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
|
| 9. |
Spatial Joint Species Distribution Modeling (Peer-reviewed) Shinichiro Shirota, Alan E. Gelfand, Sudipto Banerjee
Statistica Sinica 2019
|
| 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
|
| 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
|
| 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
|
| 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
|
| 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
|
|
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 |
| 2. |
Novel Bayesian predictive methods for social science
|
Grant-in-Aid for Scientific Research (B)
(
Awarding organization:
Japan Society for the Promotion of Science
System name:
Grants-in-Aid for Scientific Research
)
|
2024.4
- 2029.3 |
| 3. |
ベイズモデリングによる選好サンプリングの研究
|
若手研究
(
Awarding organization:
日本学術振興会
System name:
科学研究費助成事業
)
|
2023.4
- 2026.3 |
| 4. |
豊かな共分散構造を持つ推定可能なガウス過程の開発
|
若手研究
(
Awarding organization:
日本学術振興会
System name:
科学研究費助成事業
)
|
2020.4
- 2023.3 |
| 5. |
GPSデータの個人特定化リスクに対する統計手法の開発
|
研究活動スタート支援
(
Awarding organization:
日本学術振興会
System name:
科学研究費助成事業
)
|
2019.8
- 2023.3 |
| 6. |
長期記憶性及び非対称性を考慮した実現確率的ボラティリティ変動モデルの推定
|
特別研究員奨励費
(
Awarding organization:
日本学術振興会
System name:
科学研究費助成事業
)
|
2013 |