城田 慎一郎

研究成果

年別の研究成果

2014 2020

• 56 被引用数
• 4 h-index
• 9 Article

年別の研究成果

年別の研究成果

検索結果

• 2020

  Analyzing car thefts and recoveries with connections to modeling origin–destination point patterns

  Shirota, S., Gelfand, A. E. & Mateu, J., 8 2020, In: Spatial Statistics. 38, 100440.

  研究成果: Article › 査読

  • Recovery
  • automobile
  • Modeling
  • modeling
  • crime
• 2019

  Preferential sampling for presence/absence data and for fusion of presence/absence data with presence-only data

  Gelfand, A. E. & Shirota, S., 1 1 2019, In: Ecological Monographs. 89, 3, e01372.

  研究成果: Article › 査読

  • sampling
  • biogeography
  • New England region
  • invasive species
  • incompatibility
  2 被引用数 (Scopus)

• Scalable inference for space-time Gaussian Cox processes

  Shirota, S. & Banerjee, S., 5 2019, In: Journal of Time Series Analysis. 40, 3, p. 269-287 19 p.

  研究成果: Article › 査読

  Open Access

  • Cox Process
  • Gaussian Process
  • Space-time
  • Discretization
  • Inference

• Spatial joint species distribution modeling using Dirichlet processes

  Shirota, S., Gelfand, A. E. & Banerjee, S., 2019, In: Statistica Sinica. 29, 3, p. 1127-1154 28 p.

  研究成果: Article › 査読

  • Dirichlet Process
  • Modeling
  • Dimension Reduction
  • Spatial Dependence
  • Ordinal Data
  3 被引用数 (Scopus)
• 2018

  Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach

  Ogasawara, K., Shirota, S. & Kobayashi, G., 1 1 2018, In: Cliometrica. 12, 1

  研究成果: Article › 査読

  • Water Supply
  • Tokyo
  • Mortality
  • Mortality Risk
  • Public Health
  7 被引用数 (Scopus)
• 2017

  Approximate Bayesian Computation and Model Assessment for Repulsive Spatial Point Processes

  Shirota, S. & Gelfand, A. E., 3 7 2017, In: Journal of Computational and Graphical Statistics. 26, 3, p. 646-657 12 p.

  研究成果: Article › 査読

  • Spatial Point Process
  • Bayesian Computation
  • Approximate Model
  • Bayesian Model
  • Model Fitting
  1 被引用数 (Scopus)

• Cholesky realized stochastic volatility model

  Shirota, S., Omori, Y., Hedibert, F. L. & Piao, H., 1 7 2017, In: Econometrics and Statistics. 3, p. 34-59 26 p.

  研究成果: Article › 査読

  • Realized Volatility
  • Cholesky
  • Stochastic Volatility Model
  • Volatility
  • Covariance Matrix
  5 被引用数 (Scopus)

• Space and circular time log Gaussian Cox processes with application to crime event data

  Shirota, S. & Gelfand, A. E., 6 2017, In: Annals of Applied Statistics. 11, 2, p. 481-503 23 p.

  研究成果: Article › 査読

  • Cox Process
  • Crime
  • Gaussian Process
  • Non-homogeneous Poisson Process
  • Nonseparable
  23 被引用数 (Scopus)
• 2014

  Realized stochastic volatility with leverage and long memory

  Shirota, S., Hizu, T. & Omori, Y., 8 2014, In: Computational Statistics and Data Analysis. 76, p. 618-641 24 p.

  研究成果: Article › 査読

  • Realized Volatility
  • Stochastic Volatility
  • Stochastic Volatility Model
  • Leverage
  • Long Memory
  15 被引用数 (Scopus)