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matvil.bsky.social
Professor of Statistics at Stockholm University. 25+ years of Bayes and still excited. Loving #juliaLang and #observable. 🇮🇹+🇸🇪
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There is a nice episode of the Julia Dispatch podcast that talks about some of these issues: youtu.be/slDh2HxTzt4?...

This looks amazing! #julialang

Immensely sad that Herman has passed away. He took me into the Bayesian community at the Valencia meeting in 1998. Very encouraging discussant of my thesis. Always helping the younger and willing to share his time and knowledge. He will be missed by many. Obituary: esobe.org/Herman_van_D...

Wikipedia is the internet at its best. If you can, please consider donating at: donate.wikimedia.org/wiki/Special...

Contribute to open-source with #SciML Small Grants! Work on exciting projects like NeuralPDE updates, benchmark refactors, and more—all while getting paid. sciml.ai/small_grants... #JuliaLang #OpenSource #SoftwareDevelopment

Illustration of linear regression with time-varying parameters. observablehq.com/@mattiasvill...

Wrote a basic tutorial about state-space models and Kalman filtering, sprinkled with interactivity, for an intermediate stats course. statisticssu.github.io/STM/tutorial...

Mixture of Gaussians #observablehq observablehq.com/@mattiasvill...

Bayesian analysis of Multinomial data using a Dirichlet prior with javascript in observablehq.com observablehq.com/@mattiasvill...

Trying to guide my students in a first course in stats (SDA1) on how to choose a distribution depending on properties of the data (among the ones covered by our triplet of basic courses SDA1-3).

Very happy to have Antonietta Mira visiting our department on October 20! All welcome!

Wrote a tutorial for a basic course on how to compute maximum likelihood estimators with approximate standard errors in R. Sprinkled with some #observablehq interactivity. statisticssu.github.io/STM/tutorial...

Yes, couldn't agree more. Too much knowledge are being put behind paywalls and University educational platforms.