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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
B3, L5, R5220
  • CEMSE
  • XSTAT
  • STAT
  • extreme statistics
  • Applied Machine Learning
  • geospatial statistics
PhD Dissertation Defense

2022-01-20 - 09:58

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Competition sheds light on approximation methods for large spatial datasets
Competition sheds light on approximation methods for large spatial datasets
2 years 8 months ago
  • CEMSE
  • AMCS
  • ECRC
  • CNR
  • STAT
  • STSDS
  • extreme statistics
  • modeling
  • big data

2021-04-25 - 10:35

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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
3 years 5 months ago
  • CEMSE
  • STAT
  • STSDS
  • AMCS
  • CNR
  • ECRC
  • extreme statistics
  • big data
  • statistics

2020-12-13 - 10:42

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KAUST CEMSE AMCS EXTSTAT STAT Landslide Prediction
Modeling the neighborhood boosts landslide prediction
3 years 9 months ago
  • CEMSE
  • AMCS
  • XSTAT
  • STAT
  • statistics
  • extreme statistics

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