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How can we model record progressions in areas like sports, videogames and technological development? Jonathan Lindbloom and your truly explain how to do this in PyMC in our new article. Check it out! authorea.com/users/429500/a…

Announcing Webinar 2/28: SAR Data in Python- Get to Know the ASF Search Module Join us for an introductory webinar to learn how to use asf_search, a new #Python library for search and discovery of #SAR data, created by the NASA #ASFDAAC. To register: go.nasa.gov/35aFrwg

Guess where?

This is so wild. bellingcat.com/resources/2022…

Any reason why economists love deriving custom Gibbs samplers for their models which they then hand-code in FORTRAN? Pretty sure most papers can be reduced to 10 lines of PyMC code.

Looks pretty awesome! Bummed I’ll be busy…

What's better than MCMC? MCMCMC? citeseerx.ist.psu.edu/viewdoc/downlo…

Want to forecast expected minimum and maximum values (from extreme value theory)? fmax is a new (experimental) package based on PyMC for that purpose. Example: github.com/jlindbloom/fma… By Jaime Sevilla and jlindbloom.

New issue of Nuño Sempere's forecasting newsletter is out! Featuring work by Jonathan Lindbloom and yours truly forecasting.substack.com/p/forecasting-…

Wow

Hmmm

Jonathan Lindbloom, Jan Glaubitz, Anne Gelb: Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances arxiv.org/abs/2402.16623 arxiv.org/pdf/2402.16623

#SaveTheDate | "Generalized Sparsity-Promoting Solvers and Uncertainty Quantification for Bayesian Inverse Problems" 🌐 CMCC Webinar 📅 05 March 2024 | 11:00 CET 🎙️Speaker: Jonathan Lindbloom, Darmouth College ➡️ Register here to attend: ow.ly/2maC50QI6U8

"A Practical Introduction to Quantum Computing" (by Casey Dowdle and James Whitfield, in SIAM): sinews.siam.org/Details-Page/a…

Dartmouth has ordered the removal of our picket line playpen. This effectively removes the only form of childcare available to our members.

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