Dr Mircea Zloteanu ๐ŸŒบ๐ŸŒž๐ŸƒMay 26

#statstab #538 A Tutorial on Conducting and Interpreting a Bayesian Independent T-Test Using Open-Source Software

Thoughts: OK as a beginner guide, but not more.

#bayesian #bayesfactor #priors #jasp #ttest #tutorial #guide

https://onlinelibrary.wiley.com/doi/epdf/10.1111/jan.70122

Dr Mircea Zloteanu ๐ŸŒบ๐ŸŒž๐ŸƒMay 22

#statstab #537 {hdbayes} An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data

Thoughts: An interesting approach to priors. I'm not v familiar w this so curious what others think.

#bayes #bayesian #priors #historicaldata

https://arxiv.org/html/2506.20060v1

hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data

Dr Mircea Zloteanu ๐ŸŒบ๐ŸŒž๐ŸƒMay 14

#statstab #532 Fractional Bayes Factors for Model Comparison Free - O'Hagan (1995)

Thoughts: Use a fraction of the data to convert an improper prior into a minimally informative prior.

#bayesian #bayesfactor #priors #bain #hypothesis #testing

https://doi.org/10.1111/j.2517-6161.1995.tb02017.x

Dr Mircea Zloteanu ๐ŸŒบ๐ŸŒž๐ŸƒApr 9

#statstab #522 Bayes Rules! Different priors, different posteriors

Thoughts: Nice illustration of how uninformative and informative priors change your posterior.

#bayesian #dataviz #bayes #inference #sensitivity #priors

https://www.bayesrulesbook.com/chapter-4#ch4-priors

Show threadDouglas Edwards Apr 9
@KatyElphinstone One caveat, though: I'm not sure that our neurodivergent #priors are necessarily always #hypopriors. They may in some cases be every bit as tightly focused as those of neurotypicals โ€” just on different possibilities. We may hear the drumbeat as clearly as neurotypicals do, and yet still march to a different drummer.
Dr Mircea Zloteanu ๐ŸŒบ๐ŸŒž๐ŸƒApr 7

#statstab #520 Reverseโ€Bayes methods for evidence assessment and research synthesis

Thoughts: I was reminded of this paper on assessing the evidentiary value of a finding. What do ppl think?

#bayes #inference #evidence #probability #priors #sensitivity

https://doi.org/10.1002/jrsm.1538

Don Curren ๐Ÿ‡จ๐Ÿ‡ฆ๐Ÿ‡บ๐Ÿ‡ฆMar 10
Unexamined #priors are not worth having.
Show threadDouglas Edwards Feb 26
@KatyElphinstone This line of thinking entirely makes sense to me, and ties in with my idea of #autism being due to the lack of a hardwired #EnvironmentalYoke that constrains neurotypical interests and engagement far more strongly than our interests and engagement are constrained. One of the ways that constraint could be exercised is by the #EnvironmentalYoke imposing far more dogmatic #priors than we have. Beds contain pillows, not ravioli!
Dr Mircea Zloteanu ๐ŸŒบ๐ŸŒž๐ŸƒNov 24, 2025

#statstab #466 Bayesian workflow: Prior determination, predictive checks and sensitivity analyses

Thoughts: Having a good bayesian work flow can be challenging with complex models.

#priors #bayesian #sensitivityanalysis #posterior #ppc #brms

https://pablobernabeu.github.io/2022/bayesian-workflow-prior-determination-predictive-checks-and-sensitivity-analyses/

Bayesian workflow: Prior determination, predictive checks and sensitivity analyses | Pablo Bernabeu

This post presents a run-through of a Bayesian workflow in R. The content is closely based on Bernabeu (2022), which was in turn based on lots of other references, also cited here.

Pablo Bernabeu
Dr Mircea Zloteanu ๐ŸŒบ๐ŸŒž๐ŸƒNov 13, 2025

#statstab #459 Getting Comfortable with Expressing Beliefs as Distributions

Thoughts: Bayesian stats requires a good understanding of priors, but these are often unintuitive. Plots help.

#bayesian #priors #ggplot #r #dataviz #learing #education

https://brian-lookabaugh.github.io/website-brianlookabaugh/blog/2025/priors-distributions/

Getting Comfortable with Expressing Beliefs as Distributions โ€“ Brian Lookabaugh

Thinking about our beliefs as distributions is not super intuitive for most people, which creates a stumbling blog for getting into Bayesian statistics. Check this blog out to break down the mystique!