Meta-analyses may reveal effects not noticeable in individual studies, such as treatment-by-subgroup interactions (e.g. effects in males vs. females). To support Bayesian analysis, prior knowledge on interaction heterogeneity is crucial. @panaro compiled such data, showing heterogeneity is often lower than expected (which makes the derived prior valuable to support formal analyses).
See here for details:
👉 https://arxiv.org/abs/2606.23968
(Joint work with @friede1)
📢 The working group "Bayes Methods" of the International Biometric Society's German Region (IBS-DR) is hosting a workshop on
BAYESIAN STATISTICS IN MEDICAL RESEARCH
including a tutorial on "Bayesian and Causal Networks in Medicine: Concepts, Implementation and Interpretation in R" by Marco Scutari (Lugano).
See here for details:
👉 https://www.biometrische-gesellschaft.de/pdf/AnkuendigungBayesWorkshop2026.pdf
Marketing Mix Modeling Part 4: Seasonality, Fourier Terms, and the Calendar Effect
Marketing Mix Modeling Part 4: Seasonality, Fourier Terms, and the Calendar Effect Part 4 of 6. PRE-READ: Part 1 (OLS) | Part 2 (Ridge) | Part 3 (Bayesian + Adstock) Part 3 ended with a problem I could not solve. Three problems, actually. Adstock fixed the carryover. Saturation fixed the diminishing returns. But the third problem, confounded trends, was still eating the model alive. Print spend declined $1,570 per year. Revenue grew $3,630 per year. The model saw “Print down, revenue […]
Early us of Bayesian approach in bioinformatics. Use available knowledge on chemical shifts and distances in homologous proteins as prior to assign NMR spectra for protein structure determination.
https://en.wikipedia.org/wiki/Structure-based_assignment
🤔 Can you perform a meta-analysis of a single study?
💡 Yes, you can -- this makes perfect sense if you want to derive a "meta-analytic-predictive (MAP) prior" based on a previous study. And it is in fact done implicitly in certain shrinkage applications involving only 2 studies. @friede1 and I had a closer look at this case:
👉 https://doi.org/10.1017/rsm.2026.10081
I have written up a more detailed post about linear regression with #probula using grid approximation. The post focuses on:
Christian Röver
BeingMaverick
Chris. Bart.
Andrzej Wąsowski 🟥probula (which is an internal DSL embedded in Scala 3)probulaEnjoy!
https://wasowski.dukla.ch/posts/2606-grid-approximation-with-probula/
#ProbabilisticProgramming #Bayesian #Inference #DataAnalysis #Scala #Scala3 #keep
Let me share an update on probula, my small purely-functional Bayesian inference library written in Scala 3. The primary goal for this write-up is to force myself (and you) to think about testing of probabilistic models, of inference algorithms, and the languages or APIs in which they are formulated. Arguably, this is a very modest start. But more is on the way! I would like to start with the first inference scheme you encounter, when reading McElreath’s Statistical Rethinking. Grid approximation (as this is the scheme we speak about) is by far the least efficient of the methods discussed in the book, but it remains useful as a testing baseline. Its simplicity and determinism let it serve as ground truth and oracle for other, more complex inference methods.
AI Faculty Positions at Capital Normal University, Beijing
Capital Normal University
Capital Normal University seeks AI faculty and researchers in Beijing.
See the full job description on jobRxiv: https://jobrxiv.org/job/capital-normal-university-27778-ai-faculty-positions-at-capital-normal-university-beijing/
#aimachinelearning #artificialintelligence #bayesian...
https://jobrxiv.org/job/capital-normal-university-27778-ai-faculty-positions-at-capital-normal-university-beijing/?fsp_sid=12627
🎉 Congratulations to Erik R. Otárola-Castillo on being elected Secretary-Elect of the Society for American Archaeology!
Check out his AAP article, which explores how #Bayesian approaches can help archaeologists move beyond dating and toward testing broader archaeological #hypotheses.
jobRxiv
Adv in Archaeological Practice
Christos Argyropoulos MD, PhD, FASN 🇺🇸 0kale/acc
Christos Argyropoulos MD, PhD