#Bayesianstatistics
6/6 Thanks to @solomonkurz.bsky.social for statistical inspiration, @natehaines.bsky.social for works that influenced my approach, and @almogsi.bsky.social & @mattansb.bsky.social or thoughtful feedback!

#BayesianStatistics #ReliabilityAnalysis #CognitiveScience
March 7, 2025 at 9:14 AM
How do I find or make a starter back on #BayesianStatistics?
November 24, 2024 at 4:01 PM
Dive in for code, visuals, and a clearer path through the log-odds fog → cogpsychreserve.netlify.app/posts/logist...

#NLP #Kaggle #marginaleffects #BayesianStatistics #DataScience #SignificantTesting
Beyond the Exclamation Points!!! – CogPsych Reserve
cogpsychreserve.netlify.app
July 14, 2025 at 7:14 AM
APA-style Bayesians! Are we doing 95% CrI or 95%CI for credible intervals? #bayesianstatistics #psychology
January 10, 2025 at 1:04 PM
Just presented some early work on our ongoing project "Bayesian Mediation Analysis with Latent Exposure Mixtures" at #JSM2025!

#BayesianStatistics #CausalInference #EnvironmentalHealth #Biostatistics #PublicHealth #EarlyCareerResearch
August 5, 2025 at 10:14 PM
If you've ever wanted to come on the show and ask Andrew, Aki or Richard "okay but what would YOU actually do here?" -- this is your shot!
Good luck, my dear Bayesians 🖖

#BayesianStatistics #DataScience #MachineLearning #PyMC #Stan
May 27, 2026 at 4:48 PM
Episode 158 is out 🎙️

@alex-andorra.bsky.social sits down with Stefan Radev to talk amortized Bayesian inference, multiverse analysis, and what a foundation model for Bayesian inference should actually look like and more..

🔗 lnkd.in/dau9_eA7

#BayesianStatistics #AmortizedInference #MachineLearning
Bayesian Workflows, Foundation Models & Sensitivity
Stefan Radev explains how simulations improve Bayesian workflows, how to do cheap sensitivity and multiverse analysis, and where BayesFlow is headed next.
learnbayesstats.com
May 22, 2026 at 10:04 PM
Since September, I've embarked on a permanent position at SCIMABIO-Interface. Excited to apply #PopulationDynamics #BehaviouralEcology & #BayesianStatistics to engage w. managers & stakeholders. Science-Policy Interface is essential for effective #Fish #Conservation! 🐟
www.scimabio-interface.fr
December 1, 2023 at 9:42 AM
Is there a good reason to report 94% HDI (highest density intervals) for regression coefficients instead of 95% HDI? #StatsSky #Bayes #BayesianStatistics
October 4, 2023 at 6:10 AM
🧲 Got 50 predictors, but only 5 that matter?

Try the Horseshoe Prior — a Bayesian approach to sparse regression that shrinks noise, not signal.

Built with Bambi + @pymc.io

🔗 Full demo: bambinos.github.io/bambi/notebo...

#BayesianStatistics #Regression #HorseshoePrior #MarketingAnalytics #PyMC
July 8, 2025 at 4:43 PM
Learn Bayesian regression modeling from the people building #PyMC, #Bambi & #CausalPy.

4 weeks. Live sessions. Real-world use cases.

👉 Registration now open: dub.link/2CDdYLK

#BayesianStatistics #Baysian
February 2, 2026 at 2:14 PM
The use of Bayesian methods in the design of trials and the analysis of the findings provides several potential benefits, which may be particularly applicable in Trauma & Orthopaedic surgery.

#ClinicalTrials #BayesianStatistics #RCTs #OrthoSky
@docfarrow.bsky.social

ow.ly/xeXm50WRwZN
September 10, 2025 at 4:24 PM
Coming soon: A Special Issue on Chronological Modelling. Read one of the papers in #EarlyView, ‘A new conservative and robust Bayesian approach for the event date model in chronology building’
buff.ly/hlEfggq
#OpenAccess #BayesianStatistics #MCMCmethods #TypoChronology
April 14, 2025 at 8:06 PM
How can Bayesian methods help us learn more from Studies Within A Trial (SWATs)? Find out more here where we explore how Bayesian methods and ACCEPT analysis can help us get more meaningful insights from SWATs: link.springer.com/article/10.1... #Trials #TrialMethodology #SWAT #BayesianStatistics
The use of Bayesian methods for the analysis of Studies Within A Trial: a proof-of-concept case study - Trials
Background and Aims A Study Within A Trial (SWAT) is a research study embedded within a larger trial which aims to investigate different strategies for a particular trial process, such as trial recrui...
link.springer.com
April 29, 2026 at 11:25 AM
Join our 5-day live online course this September:
Spatial and Spatial-Temporal Modelling using R-INLA
Led by Prof. Virgilio Gómez Rubio.

#SpatialModelling
#BayesianStatistics
#DataScience
#RStats
#INLA
#SpatioTemporal
#EcologicalModelling
#Epidemiology
#EnvironmentalScience
Spatial & Spatial-Temporal Modelling in R-INLA | PR Statistics
Master spatial and spatial-temporal statistical modelling techniques using R-INLA in this advanced training course from PR Statistics. Designed for researchers, data scientists, and applied statistici...
www.prstats.org
May 4, 2025 at 5:28 PM
📢 The Corcoran Memorial Lecture 2025
🗓️ 20 Feb, 16:00 - 17:00
📍 Seminar Room, Dept of Earth Sciences

Prof Peter Grünwald explores E-Values, Anytime-Validity & Bayes

🔗 Registration required: tinyurl.com/56c8uszw

#OxfordEvents #Statistics #E-Values #BayesianStatistics
February 13, 2025 at 11:16 AM
Spatial Phylogenetics and Bayesian Phylogenetic Mixed Models

Working with spatial biodiversity data where species are not independent?
Our live online course runs 22–24 Sept, delivered by Dr Ignacio Castilla

prstats.org/course/spati...
#Phylogenetics #BayesianStatistics #Macroecology #Biodiversity
Spatial and Bayesian Phylogenetic Mixed Models - PR Stats
Learn spatial phylogenetics & Bayesian phylogenetic mixed models in R. Practical training in phylogenetic modelling & comparative workflows.
prstats.org
June 11, 2026 at 4:26 PM
In a previous article, @letstido.bsky.social and I introduced the Complex Random Intercepts approach for Linear Mixed Models.

The goal was to simplify random-effects structures without removing key dependencies in the data.

doi.org/10.1177/2515...

#BayesianStatistics #LinearMixedModels
Reliability and Feasibility of Linear Mixed Models in Fully Crossed Experimental Designs - Michele Scandola, Emmanuele Tidoni, 2024
The use of linear mixed models (LMMs) is increasing in psychology and neuroscience research In this article, we focus on the implementation of LMMs in fully cro...
doi.org
July 10, 2026 at 12:39 PM
🛶🟩Characterising fine-scale habitat associations for range expanding species with limited data: a case study on the West Nile Virus vector, Culex modestus

vist.ly/5hp5t

#BayesianStatistics #CulexModestus #EcologicalNiche #HabitatSuitability #VectorSurveillance
September 8, 2026 at 2:29 PM
Featured case study from the community: a two-pillar Bayesian CLV framework for a nonprofit, built on pymc-marketing.

1M+ records, MCMC vs. MAP tradeoffs, and a full Databricks deployment walkthrough

Read the blog here: dub.link/AO4oazi

#PyMC #BayesianStatistics #CLV
Predicting Donor Lifetime Value for NGOs with PyMC-Marketing | PyMC Labs
A real-world Bayesian donor lifetime value model built for a global children's nonprofit - using BG/NBD, Gamma-Gamma & Shifted Beta-Geo in PyMC-Marketing, with MAP fitting and MLflow deployment on Dat...
www.pymc-labs.com
April 17, 2026 at 3:17 PM
How can Bayesian methods help identify cause and effect? 🔎📊

Joe Suzuki, Professor Emeritus at Osaka University, visits Alexander Marx’s Chair of Causality for a talk on Bayesian ICA.
📅 Aug 10 | 11:00
📍 JvF 25, Room 303 + Zoom tu-dortmund.zoom.us/j/9918511901...

#Causality #BayesianStatistics
August 6, 2026 at 6:36 AM
There are still seats available for the SDM with BART methods led by @jbyoder.org

📅 1–3 July
💻 Fully online

Learn how to build, evaluate, and interpret #SDMs in R using BART methods & compare them to other #machinelearning approaches in ecology
shorturl.at/77nXQ

#Rstats #BayesianStatistics
Species distribution modeling with Bayesian additive regression tree (BART) methods
Dates 1-3 July 2026
www.physalia-courses.org
April 22, 2026 at 1:48 PM