Advancing probabilistic programming for scientific applications?

#EuroSciPy2025 welcomes original research on Bayesian methods, MCMC algorithms, and statistical modeling in #Python.

Submit your work as tutorials, talks, or posters!

Developing Bayesian inference methods for complex scientific problems?

#EuroSciPy2025 is seeking original work on Hamiltonian Monte Carlo, variational inference, and statistical modeling in #Python.

Submit your innovations: https://pretalx.com/euroscipy-2025/cfp #CfP

Football is more than tactics and talent—it's driven by 𝐝𝐚𝐭𝐚. From 𝐩𝐥𝐚𝐲𝐞𝐫 𝐫𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 to 𝐦𝐚𝐭𝐜𝐡 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, data science gives clubs a winning edge.

In the latest episode, Alex Andorra sits down with Matthew Penn to break it all down:

https://learnbayesstats.com/episode/128-building-winning-data-team-football-matt-penn

Any academics know of #BayesianStatistics or #datascience winter schools in Europe?
#academicchatter #WinterSchool

Question for all the #BayesianStatistics and #epistemology folks: can a Bayesian falsify things? Or is falsification just a different updating function for knowledge?
Reason for saying this: falsification to me is kind of a Schumpeterian version of epistemology. You tear down a building (theory) to get a new, better one. Bayesianism on the other hand is more akin to a formative evaluation.

Der "britische Tech Milliardär", der vermisst wird, heißt Mike Lynch. Die gesunkene Jacht gehört ihm Und hieß "Bayesian". Reich geworden ist er mit der Firma "Autonomy" die Pattern Matching mit "Bayesian Inference" betrieb. 2011 wurde Autonomy an HP verkauft und ging ein. Lynch wurde des Betrugs beschuldigt, an die USA ausgeliefert, im März 2024 vor gericht gestellt und im juni 2024 freigesprochen. Seit 2013 betreibt er die CyberSecurity firma DarkTrace.

https://en.wikipedia.org/wiki/Mike_Lynch_%28businessman%29

@HonkHase @geist @kkarhan

Everything Is Predictable: How Bayesian Statistics Explain Our World by Tom Chivers, 2024

A captivating and user-friendly tour of Bayes's theorem and its global impact on modern life from the acclaimed science writer and author of The Rationalist's Guide to the Galaxy.

@bookstodon
#books
#nonfiction
#probability
#BayesianStatistics
#BayesTheorem

As it's #EuropeanVaccineWeek & #WorldImmunizationWeek, we're shining a spotlight on Inno4Vac, which is leveraging advanced #BayesianStatistics to improve #VaccineStability, reducing #VaccineWaste - read our article to find out how! https://europa.eu/!y3K7q6

New on the blog: showcasing the immense hackability of #brms by extending a random intercept model with linear predictors on the standard deviation of the random intercept. Should you do it? Most likely not, but if you really really want, there is a way. Also the techniques shown are general and let you do a lot of other crazy stuff with brms. Happy for any feedback!
https://www.martinmodrak.cz/2024/02/17/brms-hacking-linear-predictors-for-random-effect-standard-deviations/

I will take Bayesians' criticisms of frequentist approaches more seriously when I finally hear a Bayesian statistician actually present a reasonable approximation to a frequentist analysis, rather than engaging in low parody.

Note that this is a criticism of people, not of any particular statistical method or theory. Also, every statistician I work with uses multiple frameworks for their analyses so 乁⁠(⁠ ⁠•⁠_⁠•⁠ ⁠)⁠ㄏ.

This piece about #BayesianStatistics #bayesianthinking #bayesian analysis in clinical medicine was just perfect
https://www.atsjournals.org/doi/abs/10.1164/rccm.202310-1757VP

This piece about #BayesianStatistics #bayesianthinking #bayesian analysis in clinical medicine was just perfect
https://www.atsjournals.org/doi/abs/10.1164/rccm.202310-1757VP

Is there a good reason to report 94% HDI (highest density intervals) for regression coefficients instead of 95% HDI? #Bayes #Bayesian #BayesianStatistics

(1/2) A new release to PyMC

Version 5.3.0 of the PyCM package was released last week. PyMC is one of the main #python packages for 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 modeling . It provides a framework for probabilistic programming enabling users to build Bayesian models with a simple Python API and fit them using 𝐌𝐚𝐫𝐤𝐨𝐯 𝐂𝐡𝐚𝐢𝐧 𝐌𝐨𝐧𝐭𝐞 𝐂𝐚𝐫𝐥𝐨 (MCMC) methods .

My latest blog post illustrates simple Bayesian inference by using it to predict fishing success. Inspired by an excellent paper by Rafal Bogacz (2017) and a cool blog by Fabian Dablander neither of whom are on Mastodon afaik https://samplingdistribution.blogspot.com/2023/04/using-bayesian-inference-to-predict.html?m=1 #BayesianStatistics

Big shoutout to our instructor @SolomonKurz & this interactive group of attendees for a fantastic course on Bayesian statistics using brms and the tidyverse

#BayesianStatistics #brms #Tidyverse #Rstats

#DavidKipping and #LexFridman - Do we live in a #Simulation?

https://www.youtube.com/watch?v=u201Bb0ev88&ab_channel=LexClips

#introduction post. I'm a software developer, originally with a background in math. I mostly program in #python, #bash and #javascript, though also dabble in #prolog. I'm slowly teaching myself #BayesianStatistics. I'm a maintainer of the Parsimonious Python parsing library.

* StackOverflow: https://stackoverflow.com/users/303931/lucas-wiman
* Github: https://github.com/lucaswiman
* Infrequently updated blog: https://lucaswiman.github.io

Feel free to hit me up with #regex or Python puzzles.

Hey! I'm a biologist/ecologist specialising in #biodiversitychange and #bayesianstatistics. From Catalogne and now based in Quebec, I am doing my Ph.D.

In my spare time I enjoy #birding, #DogTraining and #photography

I speack català, español, français & english

Reposting my #introduction so I can pin it - I'm a postdoctoral researcher doing #MicrobialEcology at Bangor University.

I'm interested in the interactions between #plants and their associated #microorganisms, particularly how they affect health outcomes in host plants, and how microbial communities differ on hosts across landscapes. I'm also interested in the question of how to accurately quantify and model microbial communities.

Keen on #rstats, #OpenScience, #BayesianStatistics, #Stan