A new chapter in my free online book π
"Some more extensions to the logit quantal response equilibrium model"
#TeachEcon #Bayes #EconSky
jamesblandecon.github.io/StructuralBa...
#statstab #515 Confounded dose-response effects of treatment adherence: fitting Bayesian instrumental variable models using brms
Thoughts: A nice tutorial on how to think about confounding, Simulating data, and making inferences
#brms #bayes #IV #guide
rpsychologist.com/adherence-an...
#statstab #514 A puzzle of proportions
Thoughts: "Two popular Bayesian tests can yield dramatically different conclusions"
Model specification is important.
#bayesian #bayes #bayesfactor #nulleffects #proportions
doi.org/10.1002/sim....
Explore every hitter's EB/PA, posteriors, projections, and more:
dtw-str.streamlit.app/Hitter_Profile
Data for models: MLB Statcast
#MLB #Statcast #Bayes
Iβm in a Markov chain rabbit hole. Send help. #bayes
Today I learned that there is such a thing as a Bayesian bicep curl. No apparent relation to anything #Bayes or #statistics. Missed opportunity to create Bayesian glute bridges; after all, the whole point is to update your posterior.
Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes
Daniel Waxman, Fernando Llorente, Petar Djuric
Action editor: Roman Garnett
https://openreview.net/forum?id=CCvVzmfBOn
#ensembles #ensemble #bayes
Thrilled to be interviewed by imminent cardiologist and clinical trials Mike Gibson yesterday about the new draft Bayesian guidance at FDA: clinicaltrialresults.org/dr-frank-har... #Statistics #StatsSky #bayes #pharma
Any good resources for visualising the posterior interval of, e.g., a propensity for treatment model? If you get 10k draws per patient and have thousands of patients, it could be useful to show individual prediction intervals in a clean format. Pinging @andrew.heiss.phd
#rstats #bayes #statsky
@philippmusfeld.bsky.social , @joschadutli.bsky.social, @koberauer.bsky.social and I wrote up the result of three years of in lab discussions on setting priors in GLMs.
Hope some of you find the proposed workflow and our recommendations helpful!
#bayes #glm #brms #rstats
Think more #rationally with #BayesRule
In his explanation of #Bayes' theorem, #cognitive #psychologist #StevenPinker highlights how this type of #reasoning can help us determine the degree of #belief we assign to a #claim based on available #evidence.
www.youtube.com/watch?v=8vHK...
π€π How nice! The International Labour Organization provided the recording of my yesterday's seminar on my new forecasting system for labour market outcomes and my R package bpvars I developed for them! π€
www.youtube.com/watch?v=ef3e...
#forecast #labourmarkets #Bayes #VAR #rstats #bpvars #econsky
My friend Jay Wren recommended a book yesterday at lunch:
"Thinking, Fast and Slow"
by Daniel Kahneman
www.amazon.com/Thinking-Fast-Slow-Danie...
A recommendation from Jay is an insta-buy. I got it as an audio-book (because of my commute).
It is not **at all** what I was [β¦]
Teaching LLMs to reason like Bayesians In a breakthrough for generative AI, researchers are training large language models (LLMs) to adopt Bayesian reasoning techniques, enhancing their ability to make informed inferences and... @cosmicmeta.ai #Bayes
https://u2m.io/lqXm3dvl
Bonus points if people have recs for how to fit #Bayes to this dummy data in a way that doesn't take eons to compile and sample, so you can check priors and finalise analysis before passing it the real stuff.
First release of stanflow! v0.1.0 was a few days later than I'd like, but its up now.
Stanflow is a metapackage a la tidyverse for a Stan Bayesian workflow--see the README for more details/features!
Feedback/issues/PRs are always appreciated.
#rstats #bayes
I know that I've only been a practicing statistician for 5 decades, but I have yet to come across an example where a frequentist analysis was a better choice than a Bayesian one. #Statistics #StatsSky #Bayes
I'm convinced understanding Geometric #Algebra requires unlearning almost *everything* from years of Linear Algebra exposure.
My brain is actively rejecting GA - especially in applications.
This transition in thinking frameworks is worse that when I gave up Frequentism for the church of #bayes.
The FDA Commissioner advocating for Bayesian design and analysis is a thrill to see. www.fda.gov/news-events/... #StatsSky #Statistics #bayes #clinicaltrial #pharma #rct @fda.gov
FDA drugs and biologics guidance for Bayesian clinical trials is something I've been dreaming of for decades. I am thrilled that this draft has been released!! #Statistics #StatsSky #fda #clinicaltrial #bayes
π Now also published in @pubs.acs.org #Photonics β© pubs.acs.org/doi/10.1021/... #MINFLUX #microscopy #Bayes
Clinical trials donβt fail because patients fail.
They fail when designs stop learning.
Episode 148 of Learning Bayesian Statistics explores adaptive & platform trials and why "wait for the final analysis" isnβt neutral in ALS or pandemics.
π learnbayesstats.com/episode/148-...
#newEpisode #bayes
#straythoughts #bayes #Bayesian
If a thing can be destroyed by Bayesian algorithms, it should be destroyed by Bayesian algorithms.
The free open source programming language #Stan helps me to make sense of data and to quantify uncertainty. The next annual Stan conference (in Uppsala, Sweden) is now open for registration and abstract submissions. #bayes bayes.club/@mcmc_stan/1...
Keynote 1: @emtiyaz.mastodon.social.ap.brid.gy about his personal breakthroughs at #EurIPS
#Bayes #sustainableAI #ML
#DTS
Buses can beat cars in Yangzhou when trips hit 15-30 minβNaive Bayes says upgrade fleets.ππ
Details: www.maxapress.com/article/doi/10.48130/dts...
#naivebayes #bayes #vehicledesign
#r #bayes Q: is there a way to easy plot a contrast density using just the {easystats} package library? I just want a simple stats_halfeye() plot from estimate_contrasts() π€·ββοΈ