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CEMSE

Computer, Electrical and Mathematical Sciences and Engineering

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KAUST-CEMSE-STAT-PhD-Dissertation-Defense-Daniela-Cisneros
Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment
Daniela Cisneros
Monday, September 11, 16:00
- 17:00
Building 3, Level 5, Room 5220; https://kaust.zoom.us/j/97801785665
  • CEMSE
  • extSTAT
  • STAT
  • extreme statistics
  • Applied Machine Learning
  • geospatial statistics
PhD Dissertation Defense
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Competition sheds light on approximation methods for large spatial datasets
Competition sheds light on approximation methods for large spatial datasets
1 year 8 months ago
  • CEMSE
  • AMCS
  • ECRC
  • CNR
  • STAT
  • STSDS
  • extreme statistics
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KAUST CEMSE STAT STSDS Method Mathematically Describes Periodic Changes In The Brightness Of Stars
Star light, star bright…as explained by math
2 years 5 months ago
  • CEMSE
  • STAT
  • STSDS
  • AMCS
  • CNR
  • ECRC
  • extreme statistics
  • Big Data
  • statistics
Image
KAUST CEMSE AMCS EXTSTAT STAT Landslide Prediction
Modeling the neighborhood boosts landslide prediction
2 years 9 months ago
  • CEMSE
  • AMCS
  • extSTAT
  • STAT
  • statistics
  • extreme statistics
  • computational and computer science

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