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Bayesian Computational Statistics & Modeling

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New paper accepted in JABES

2019-06-25 - 16:34
  • extreme weather
  • spatio-temporal statistics
  • Statistics of extremes
  • STAT
  • CEMSE
JABES
extstat_Jabes_0.png

New accepted paper: Castro-Camilo, D., Huser, R., and Rue, H. (2019+), A spliced Gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting, Journal of Agricultural, Biological and Environmental Statistics, to appear [PDF preprint]

Related Persons

Haavard Rue

Haavard Rue

Professor, Statistics
  • AMCS
  • BAYESCOMP
  • CEMSE
  • STAT
  • Bayesian computational statistics
  • bayesian methodology
  • latent Gaussian models
Professors
Raphael Huser

Raphaël Huser

Assistant Professor, Statistics
  • AMCS
  • CEMSE
  • extSTAT
  • STAT
  • Statistics of extremes
  • spatio-temporal statistics
  • copulas
Professors
Daniela Castro Camilo

Daniela Castro-Camilo

Postdoctoral Research Fellow, Statistics
  • CEMSE
  • extSTAT
  • STAT
  • Statistics of extremes
  • Environmental Statistics
  • spatial statistics
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  • 06 Jun
    • BAYESCOMP
    • CEMSE
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    PhD Dissertation Defense
    Joint Posterior Inference for Latent Gaussian Models and extended strategies using INLA
    Cristian Chiuchiolo 15:00-17:00, Building 3, Level 5, Room 5209; https://kaust.zoom.us/j/94924228096
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Haavard Rue

Rue honored by Royal Statistical Society

2021.03.03
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KAUST researchers rank in top 1% of cited work worldwide

2020.12.23

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2020.10.20statistics
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