~/talk

Modeling Extreme Events with PyMC

Talkat PyData Global 2023 · 2023-12-06..12-08· [machine-learning]
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slides:none on file

Models New York extreme rainfall with PyMC using annual maxima (about 50 annual maxima) and fits an extreme value distribution to estimate return levels; the single-day record of 8.4 inches maps to roughly a once in 83 years event under the baseline model. A Gaussian process prior that borrows strength from nearby stations (scaled experiments up to 3,500 stations) reduces posterior uncertainty roughly by half, sampling takes minutes, and posterior return-level curves and credible bands are produced.

AI-written summary · about

  1. 0:00Introduction
  2. 1:09Extreme events statistics
  3. 6:49Bayesian modeling basics
  4. 11:03NY rainfall modeling
  5. 17:51Gaussian process enhancement
  6. 25:18Key takeaways and Q&A session
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