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#BayesFactors

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Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #238 Bridging null hypothesis testing and estimation</p><p>Thoughts: An overview of the ways you can claim "no effect" under a bayesian framework.</p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/nullresults" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nullresults</span></a> <a href="https://mastodon.social/tags/noeffect" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>noeffect</span></a> <a href="https://mastodon.social/tags/equivalencetests" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>equivalencetests</span></a> <a href="https://mastodon.social/tags/equivalence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>equivalence</span></a> <a href="https://mastodon.social/tags/jasp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jasp</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a></p><p><a href="https://osf.io/preprints/psyarxiv/c7b45" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">osf.io/preprints/psyarxiv/c7b4</span><span class="invisible">5</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #236 Using Bayes to get the most out of non-significant results</p><p>Thoughts: A bayesian way to investigate "no effect": Bayes Factors. Cool guide on how to think about priors (post hoc even).</p><p><a href="https://mastodon.social/tags/priors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>priors</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/nullresults" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nullresults</span></a> <a href="https://mastodon.social/tags/equivalence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>equivalence</span></a> <a href="https://mastodon.social/tags/nhbt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nhbt</span></a> </p><p><a href="https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2014.00781/full" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">frontiersin.org/journals/psych</span><span class="invisible">ology/articles/10.3389/fpsyg.2014.00781/full</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #232 Bayesian Interval-Null Testing</p><p>Thoughts: @JASPStats has a module for Equivalence Tests that include Bayesian Overlapping and Non-Overlapping Hypothesis Testing.</p><p><a href="https://mastodon.social/tags/equivalencetests" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>equivalencetests</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/jasp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jasp</span></a> <a href="https://mastodon.social/tags/noeffect" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>noeffect</span></a> <a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a><br> <a href="https://jasp-stats.org/2020/06/02/frequentist-and-bayesian-equivalence-testing-in-jasp/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jasp-stats.org/2020/06/02/freq</span><span class="invisible">uentist-and-bayesian-equivalence-testing-in-jasp/</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #196 JASP Bayesian ANOVA</p><p>Thoughts: @JASPStats is used by researchers to "add some bayes factors" to their results. But, do you know what those actually reflect? Here is what their team says:</p><p><a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/anova" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>anova</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a></p><p><a href="https://static.jasp-stats.org/about-bayesian-anova.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">static.jasp-stats.org/about-ba</span><span class="invisible">yesian-anova.html</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #166 Using Bayes to get the most out of non-significant results</p><p>Thoughts: Not sure how to set more meaningful priors for your Bayes Factors? This paper has a guidance. Great for simple designs.</p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/nullresults" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nullresults</span></a> <a href="https://mastodon.social/tags/nhst" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nhst</span></a></p><p><a href="https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2014.00781/full" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">frontiersin.org/journals/psych</span><span class="invisible">ology/articles/10.3389/fpsyg.2014.00781/full</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #165 Approximate Objective Bayes Factors From P-Values and Sample Size: The 3p√n Rule</p><p>Thoughts: p-values can't quantify evidence, but maybe if we apply a transformation they can? Is JAB_01 the future? Debate!</p><p><a href="https://mastodon.social/tags/nhst" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nhst</span></a> <a href="https://mastodon.social/tags/pvalues" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pvalues</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a></p><p><a href="https://osf.io/preprints/psyarxiv/egydq" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">osf.io/preprints/psyarxiv/egyd</span><span class="invisible">q</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #148 Bayes Factors and how to use them, via {bayestestR} pkg</p><p>Thoughts: A go-to packages for bayesian model inference. Also has a great explanation of BFs, how to use them, and alternatives.</p><p><a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.social/tags/BayesFactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BayesFactors</span></a> <a href="https://mastodon.social/tags/HypothesisTesting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HypothesisTesting</span></a></p><p><a href="https://easystats.github.io/bayestestR/articles/bayes_factors.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">easystats.github.io/bayestestR</span><span class="invisible">/articles/bayes_factors.html</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #90 Improving the utility of non-significant results [...]</p><p>Thoughts: OK overview, but a fairly naive take on what to do with non-sig results. Also, plz don't just report <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> and call it a day! </p><p><a href="https://mastodon.social/tags/pvalues" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pvalues</span></a> <a href="https://mastodon.social/tags/NHST" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NHST</span></a> <a href="https://mastodon.social/tags/frequentist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>frequentist</span></a> <a href="https://mastodon.social/tags/education" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>education</span></a></p><p><a href="https://www.sciencedirect.com/science/article/pii/S1747938X23000830" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">sciencedirect.com/science/arti</span><span class="invisible">cle/pii/S1747938X23000830</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #87 {bfrms} Bayes Factors for {brms} models</p><p>Thoughts: Pkg seems dead, but has insights into specifying <a href="https://mastodon.social/tags/brms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brms</span></a> models to get similar results to <a href="https://mastodon.social/tags/JASP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JASP</span></a> and the need for more samples (24k min) for proper estimation.</p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a></p><p><a href="https://github.com/bayesstuff/bfrms" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/bayesstuff/bfrms</span><span class="invisible"></span></a></p>
Martin Modrák<p>New on the blog: I explore the connection between Bayes factors and cross-validation and explain why I think it does not justify the use Bayes factors in most cases. <a href="https://www.martinmodrak.cz/2024/03/23/cross-validation-a-fourth-way-to-compute-a-bayes-factor/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">martinmodrak.cz/2024/03/23/cro</span><span class="invisible">ss-validation-a-fourth-way-to-compute-a-bayes-factor/</span></a></p><p><a href="https://bayes.club/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://bayes.club/tags/BayesFactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BayesFactors</span></a> <a href="https://bayes.club/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://bayes.club/tags/CrossValidation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CrossValidation</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #60 Justifying Bayesian Priors</p><p>Thoughts: This blog post was extremely useful when I started using <span class="h-card" translate="no"><a href="https://fosstodon.org/@JASPStats" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>JASPStats</span></a></span> and had no idea what priors were. Recommend it. </p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/jasp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jasp</span></a> </p><p><a href="https://xeniaschmalz.blogspot.com/2019/09/justifying-bayesian-prior-parameters-in.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">xeniaschmalz.blogspot.com/2019</span><span class="invisible">/09/justifying-bayesian-prior-parameters-in.html</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #42 Bayes Factors in <a href="https://mastodon.social/tags/brms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brms</span></a></p><p>Thoughts: Bayes Factors are just the ratio of the height difference of two points on two lines, don't @ me! (seriously, that's how most packages commute it)</p><p><a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/jasp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jasp</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/SavageDickey" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SavageDickey</span></a> <a href="https://mastodon.social/tags/ResearchMethods" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResearchMethods</span></a> <a href="https://mastodon.social/tags/psychology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstodon</span></a> </p><p><a href="https://mvuorre.github.io/posts/2017-03-21-bayes-factors-with-brms/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mvuorre.github.io/posts/2017-0</span><span class="invisible">3-21-bayes-factors-with-brms/</span></a></p>
Dr Mircea Zloteanu ☃️<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #30 Bayesian Model Averaged Marginal Effects by <span class="h-card" translate="no"><a href="https://bayes.club/@ajordannafa" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ajordannafa</span></a></span> </p><p>Thoughts: Why report AMEs when you can report BMAMEs? Cool (necessary?) way to capture uncertainty. Unsure it make sense for experiments.</p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/uncertainty" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>uncertainty</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/BayesFactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BayesFactors</span></a></p><p><a href="https://www.ajordannafa.com/blog/2022/being-less-wrong/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">ajordannafa.com/blog/2022/bein</span><span class="invisible">g-less-wrong/</span></a></p>
Erik-Jan<p>Was going through old repositories; found this nice document on estimating treatment effect of a medicine for a single patient with seizures <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="tag">#<span>rstats</span></a> :rstats:</p><p>It goes from simple to complex:<br />- <a href="https://fosstodon.org/tags/Visualization" class="mention hashtag" rel="tag">#<span>Visualization</span></a> &amp; summary statistics<br />- Poisson regression (glm) with a treatment dummy<br />- Penalized poisson regression to deal with 0s<br />- Correcting for autocorrelation<br />- <a href="https://fosstodon.org/tags/Bayesian" class="mention hashtag" rel="tag">#<span>Bayesian</span></a> Poisson model with <a href="https://fosstodon.org/tags/stan" class="mention hashtag" rel="tag">#<span>stan</span></a> <a href="https://fosstodon.org/tags/rstanarm" class="mention hashtag" rel="tag">#<span>rstanarm</span></a> <br />- Correcting for autocorrelation and <a href="https://fosstodon.org/tags/BayesFactors" class="mention hashtag" rel="tag">#<span>BayesFactors</span></a> <a href="https://fosstodon.org/tags/bridgesampling" class="mention hashtag" rel="tag">#<span>bridgesampling</span></a></p><p><a href="https://github.com/vankesteren/single_subject" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">github.com/vankesteren/single_</span><span class="invisible">subject</span></a></p>