| 1. |
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
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| 2. |
Preferential sampling for bivariate spatial data (Peer-reviewed)
Shinichiro Shirota, Alan E. Gelfand
Spatial Statistics Vol.51,pp.100674 2022.10
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| 3. |
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
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| 4. |
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
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| 5. |
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
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| 6. |
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
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| 7. |
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
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| 8. |
Spatial Joint Species Distribution Modeling (Peer-reviewed)
Shinichiro Shirota, Alan E. Gelfand, Sudipto Banerjee
Statistica Sinica 2019
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| 9. |
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
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| 10. |
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
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| 11. |
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
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| 12. |
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
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| 13. |
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
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