Hello EVOLDIR members

Model biological patterns while expressing uncertainty and testing model assumptions. Gaussian Processes with PyMC and LLMs led by Chris Fonnesbeck (PyMC Labs and Vanderbilt University Medical Center) is now available as an on-demand streaming seminar. Specify, fit, diagnose, compare, and scale Gaussian process models in PyMC for complex data. Evolutionary researchers can apply kernels, uncertainty estimates, multi-output models, and non-Gaussian likelihoods to genetic, trait, or time-series questions. Reproducible Python workflows can support model assessment, computational trade-offs, and publication-quality analyses.

Access this seminar (https://instats.org/seminar/gaussian-processes-with-pymc-and-llms-1) online at your convenience and we'd appreciate you sharing this with colleagues and students!

Best wishes

Michael Zyphur
Professor and Director
Instats | instats.org

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