We have been refining the Bayesian workflow picture (the actual workflow have been advocated by @StatModeling and others for many years). Simulating from the prior predictive is key, particularly for complex, non-linear models.

Using the spsurv R package for semi-parametric time-to-event analysis arxiv.org/abs/2609.34874

Bayesian Workflow comes with a free PDF and code for its worked examples: avehtari.github.io/Bayesian-…

Dose alone can miss what matters when dosing schedules differ. PROP integrates PK/PD into a Bayesian platform trial’s toxicity, efficacy, and regimen decisions. Safety stopping remains a trade-off. arxiv.org/abs/2609.30072

hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data. arxiv.org/abs/2506.20060

The Within-Orbit Adaptive Leapfrog No-U-Turn Sampler. WALNUTS adapts effectively to local curvature ...Moreover, WALNUTS successfully fits complex hierarchical Bayesian models that standard NUTS fails to handle reliably arxiv.org/pdf/2506.18746

causalBETA: An R Package for Bayesian Semiparametric Causal Inference with Event-Time Outcomes by Han Ji and Arman Oganisian arxiv.org/abs/2310.12358 github.com/RuBBiT-hj/causalB…

New Book: Bayesian Statistical Modeling with Stan, R, and Python by Kentaro Matsuura. Here is a review: statmodeling.stat.columbia.e…

Bayes Rules! An Introduction to Applied Bayesian Modeling by Alicia A. Johnson, Miles Q. Ott, Mine Dogucu is available online: bayesrulesbook.com/

Tuning-Free Generalized Hamiltonian Monte Carlo by Matt Hoffman and Pavel Sountsov. proceedings.mlr.press/v151/h…

Solving Wordle using information theory by @3blue1brown youtu.be/v68zYyaEmEA

Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari is now available online. avehtari.github.io/ROS-Examp… users.aalto.fi/~ave/ROS.pdf

Lizzie Wolkovivh: Predicting future forest tree communities and winegrowing regions with Stan youtu.be/gKWedtPjyQE

Bayesian Modeling and Computation in Python by @aloctavodia, @canyon289, and @junpenglao is now available online: bayesiancomputationbook.com

Stan developer Rok Češnovar talks about the current state of @mcmc_stan how we got here, and where we are going. youtu.be/EJLXoDBoVko

Introduction to Nonparametric Bayes by @StableMarkets (Arman Oganisian) youtu.be/Sv4sAjZjcBg

Stan developer Rok Češnovar is stopping by at 12 PM ET to talk to us about the current state of @mcmc_stan how we got here, and where we are going. Join us on the Calibrated Webcast. hopin.com/events/the-current…

Towards responsible patient-level causal inference: taking uncertainty seriously by @ShalitUri youtu.be/nd1a97f93OE

"Pathfinder: Parallel quasi-Newton variational inference" by Lu Zhang, Bob Carpenter, Andrew Gelman, and Aki Vehtari arxiv.org/abs/2108.03782

The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions by Raj Agrawal et al. arxiv.org/abs/1905.06501 github.com/pyro-ppl/pyro/blo… youtube.com/watch?v=Xnxnoq3o…