@learnbayesstats.bsky.socialHow can we make Bayesian inference faster? 🎧
In Episode 167 @alex-andorra.bsky.social @paulbuerkner.com
and Steve Bronder discuss amortized inference, neural posteriors, GPUs in Stan, and GPU-ready linear algebra.
Recorded live at StanCon 2026 in Uppsala!
@fabmusacchio.bsky.social… Iterative #model building, checking, #debugging, #simulation and generally good #statistical practice. And there’s a freely available edition on Github:
📖 avehtari.github.io/Bayesian-Wor...
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@instats.bsky.socialLearn Regression Modeling Strategies at your own pace! #BayesianStatistics #Biostatistics #CausalInference #ComputationalStatistics #DataScience #Epidemiology #HealthSciences #LongitudinalDataAnalysis #MachineLearning #MissingData #RegressionModelingStrategies #Statisticalmodellingandregressio
@instats.bsky.socialLearn Causal Inference with LLMs at your own pace! #AppliedResearch #BayesianStatistics #CausalInference #ComputationalSocialScience #ComputationalStatistics #ComputerScience #DataScience #Economics #EnvironmentalSciences #Finance #Healthcare #MachineLearning #Management #MixedMethods #Organiz
@oikosjournal.bsky.social🛶🟩Characterising fine-scale habitat associations for range expanding species with limited data: a case study on the West Nile Virus vector, Culex modestus
#BayesianStatistics #CulexModestus #EcologicalNiche #HabitatSuitability #VectorSurveillance
