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#bayes

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RDN<p>A new Bayesian approach to incorporating the effects of dormancy (more than seasonal) into population dynamics models:</p><p><a href="https://www.pnas.org/doi/abs/10.1073/pnas.2501394122" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">pnas.org/doi/abs/10.1073/pnas.</span><span class="invisible">2501394122</span></a></p><p>It would be interesting to see if this can be applied to anadromous fish that spend variable numbers of years at sea, or to species with other types of refugia.</p><p><a href="https://floss.social/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Science</span></a> <a href="https://floss.social/tags/PopulationModeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PopulationModeling</span></a> <a href="https://floss.social/tags/Bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayes</span></a></p>
Daniel Hoffmann 🥬<p>Detective work with <a href="https://mathstodon.xyz/tags/genomes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genomes</span></a>: some invasive species have been introduced deliberately, others inadvertently. A new <a href="https://mathstodon.xyz/tags/statistical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistical</span></a> framework helps to track what probably happened. Demonstration object is the Pacific oyster. <a href="https://mathstodon.xyz/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://www.pnas.org/doi/abs/10.1073/pnas.2418730122?af=R" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">pnas.org/doi/abs/10.1073/pnas.</span><span class="invisible">2418730122?af=R</span></a></p>
Sarfraaz Ahmed<p>📉Latest MyVoD:-&gt; Don't use GenAI?<br>💡 Visually understanding Bayes' Theorem<br>✨ Python's Performace Anti-Patterns<br>✨ Python's Dictionary Dispatch Pattern</p><p>Latest My Voyage of Discovery: <a href="http://eepurl.com/jcLqOg" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/jcLqOg</span><span class="invisible"></span></a></p><p>Subscribe for more at: <a href="http://eepurl.com/iu6PFU" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/iu6PFU</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/MyVoD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MyVoD</span></a> <a href="https://mastodon.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/Dictionary" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Dictionary</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/3Blue1Brown" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>3Blue1Brown</span></a> <a href="https://mastodon.social/tags/Pattern" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Pattern</span></a></p>
Ritesh Bhagwat<p>My Ram Navami Greetings with a Bayesian Twist !</p><p><a href="https://mastodon.social/tags/ramnavami" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ramnavami</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/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a></p>
Teresita Porter 🙋🏻‍♀️<p>eDNAjoint: An R package for interpreting paired or semi-paired environmental DNA and traditional survey data in a Bayesian framework</p><p><a href="https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.70000" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">besjournals.onlinelibrary.wile</span><span class="invisible">y.com/doi/full/10.1111/2041-210X.70000</span></a></p><p><a href="https://ecoevo.social/tags/eDNA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>eDNA</span></a> <a href="https://ecoevo.social/tags/environmentalDNA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>environmentalDNA</span></a> <a href="https://ecoevo.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rstats</span></a> <a href="https://ecoevo.social/tags/Bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayes</span></a></p>
Ross Gayler<p>Some probability/maths/optimisation questions for the Fedi-hive mind:</p><p>Bayes' Theorem is<br>P(H | E) = P(E | H) P(H) / P(E)<br>where H and E are events (that I have labelled for my mnemonic convenience to suggest Hypothesis and Evidence, but they're just events).</p><p>Assume that:<br>* There is some fixed database of records with a fixed set of fields.<br>* The events H and E are predicates of individual database records.<br>* The event predicates are functions of the field values in the record being evaluated.<br>* We are interpreting the relative frequency of the event predicate being true over all the record in the database as the probability of the event defined by the predicate.</p><p>The typical statement of Bayes' Theorem appears to assume that the definitions of the events H and E are fixed and given, and the only thing of interest is how to calculate with them.</p><p>1. Does it make sense to have a fixed definition of H and search over the space of possible definitions of E to maximise P(H | E)?</p><p>2. Is there a name for this? (I presume it's been suggested many times already.) Is it abductive inference because you're trying to find the "best explanation" of H?</p><p>3. Are there constraints that need to be placed on the optimisation? (a. You wouldn't want the E definition to be a copy of or equivalent to the H definition. b. You wouldn't want the E definition to be some degenerate case, e.g. with P(E) vanishingly small. c. You probably want some regularisation penalty that prefers simple definitions of E over more complex ones.</p><p>Any comments on this and pointers into the literature would be greatly appreciated.</p><p><a href="https://aus.social/tags/math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>math</span></a> <a href="https://aus.social/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://aus.social/tags/Bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayes</span></a> <a href="https://aus.social/tags/optimisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>optimisation</span></a> <a href="https://aus.social/tags/AbductiveInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AbductiveInference</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> #295 The Fallacy of the Null-Hypothesis Significance Test</p><p>Thoughts: "the [..] aim of a scientific experiment is not to precipitate decisions, but to make an appropriate adjustment in the degree to which one accepts, or believes, the hypothesis"</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/Bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayes</span></a> <a href="https://mastodon.social/tags/ConfidenceIntervals" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ConfidenceIntervals</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/significance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>significance</span></a> <a href="https://mastodon.social/tags/testing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>testing</span></a> <a href="https://mastodon.social/tags/hypotheses" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hypotheses</span></a> <a href="https://mastodon.social/tags/likelihood" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>likelihood</span></a> <a href="https://mastodon.social/tags/critique" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>critique</span></a> <a href="https://mastodon.social/tags/fallacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fallacy</span></a></p><p><a href="http://stats.org.uk/statistical-inference/Rozeboom1960.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">stats.org.uk/statistical-infer</span><span class="invisible">ence/Rozeboom1960.pdf</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> #293 The Bayesian Bootstrap</p><p>Thoughts: I need to think more on where bootstrapping makes sense in a bayesian setting. But here's a tutorial.</p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</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/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.social/tags/bootstrap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bootstrap</span></a> <a href="https://mastodon.social/tags/resampling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>resampling</span></a> </p><p><a href="https://towardsdatascience.com/the-bayesian-bootstrap-6ca4a1d45148/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">towardsdatascience.com/the-bay</span><span class="invisible">esian-bootstrap-6ca4a1d45148/</span></a></p>
Jim Garrett<p>I just dropped an entry in my professional blog:<br><a href="https://publish.ministryofinternet.eu/jimg/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">publish.ministryofinternet.eu/</span><span class="invisible">jimg/</span></a></p><p>What's the big deal with Bayesian analysis? For what sort of problems does it work well, and why? Intended for a limited-technical audience (you can tell me if I've succeeded or not!).</p><p><a href="https://toot.cat/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://toot.cat/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> <a href="https://toot.cat/tags/Bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayes</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> #279 Diagnosing the Misuse of the Bayes Factor in Applied Research</p><p>Thoughts: As with NHST, Null Hypothesis Bayesian Testing (NHBT) can also be easily misunderstood.</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/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/NHBT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NHBT</span></a> <a href="https://mastodon.social/tags/misuse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>misuse</span></a> <a href="https://mastodon.social/tags/QRPs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>QRPs</span></a> <a href="https://mastodon.social/tags/error" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>error</span></a></p><p><a href="https://journals.sagepub.com/doi/10.1177/25152459231213371" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.sagepub.com/doi/10.11</span><span class="invisible">77/25152459231213371</span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> help: is there any online tutorial for ordinal CFA with {blavaan}?</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/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/blavaan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>blavaan</span></a> <a href="https://mastodon.social/tags/lavaan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lavaan</span></a> <a href="https://mastodon.social/tags/cfa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cfa</span></a> <a href="https://mastodon.social/tags/sem" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sem</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tutorial</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> #272 Different meanings of p-values</p><p>Thoughts: A riveting (&amp; confusing) discussion on the definitions &amp; properties of p-values. W/ guest appearance from some big names in stats, from all camps.</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/divergence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>divergence</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/compatibility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>compatibility</span></a></p><p><a href="https://statmodeling.stat.columbia.edu/2023/04/14/4-different-meanings-of-p-value-and-how-my-thinking-has-changed/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statmodeling.stat.columbia.edu</span><span class="invisible">/2023/04/14/4-different-meanings-of-p-value-and-how-my-thinking-has-changed/</span></a></p>
pglpm<p><span class="h-card" translate="no"><a href="https://mastodon.social/@bthalpin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>bthalpin</span></a></span> <br>Curiosity: what does it do if you ask for an 89% *credibility* interval, maybe even asking not to make distributional assumptions?</p><p><a href="https://c.im/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://c.im/tags/deepseek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deepseek</span></a> <a href="https://c.im/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a></p>
pglpm<p><a href="https://c.im/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://c.im/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a></p>
Chad Scherrer<p>We'd like to benchmark our <a href="https://bsky.brid.gy/hashtag/rust" rel="nofollow noopener noreferrer" target="_blank">#rust</a> DPMM sampler against some alternatives. What's the fastest you know of? <a href="https://bsky.brid.gy/hashtag/nonparametric" rel="nofollow noopener noreferrer" target="_blank">#nonparametric</a> <a href="https://bsky.brid.gy/hashtag/bayes" rel="nofollow noopener noreferrer" target="_blank">#bayes</a> <a href="https://bsky.brid.gy/hashtag/MCMC" rel="nofollow noopener noreferrer" target="_blank">#MCMC</a></p>
Daniel Lakeland<p>I got an email from the author promoting this benchmark comparison of <a href="https://mastodon.sdf.org/tags/Julialang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Julialang</span></a> + StanBlocks + <a href="https://mastodon.sdf.org/tags/Enzyme" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Enzyme</span></a> vs <a href="https://mastodon.sdf.org/tags/Stan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Stan</span></a> runtimes.</p><p>StanBlocks is a macro package for Julia that mimics the structure of a Stan program. This is the first I've heard about it.</p><p>A considerable number of these models are faster in Julia than Stan, maybe even most of them. </p><p><a href="https://nsiccha.github.io/StanBlocks.jl/performance.html" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">nsiccha.github.io/StanBlocks.j</span><span class="invisible">l/performance.html</span></a></p><p><a href="https://mastodon.sdf.org/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.sdf.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.sdf.org/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</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>
Ulrike Hahn<p>„calling something logic doesn’t make it so. Calling someone rational doesn’t make it so“ </p><p>I’ve been thinking for a while that, as someone who works on human rationality and rational argument, I should write a blog post on what that actually means (and, maybe more importantly, doesn‘t mean).</p><p>in the meantime, though, I found much to agree with in this piece: </p><p>Title: The magical thinking of guys who love logic <br><a href="https://theoutline.com/post/7083/the-magical-thinking-of-guys-who-love-logic" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">theoutline.com/post/7083/the-m</span><span class="invisible">agical-thinking-of-guys-who-love-logic</span></a> </p><p><a href="https://fediscience.org/tags/logic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>logic</span></a> <a href="https://fediscience.org/tags/rationality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rationality</span></a> <a href="https://fediscience.org/tags/argument" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>argument</span></a> <a href="https://fediscience.org/tags/Bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayes</span></a></p>
Eric Schares<p>Adventures in writing a simple <br><a href="https://scholar.social/tags/Bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayes</span></a> model! I have a question on why I'm getting a bi-modal joint posterior (alpha~sigma) when I just model a Normal distribution up on Cross Validated.</p><p>Would welcome any <a href="https://scholar.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> input or advice.</p><p><a href="https://stats.stackexchange.com/questions/657633/bi-modal-mcmc-joint-posterior-when-modeling-normal-distribution" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">stats.stackexchange.com/questi</span><span class="invisible">ons/657633/bi-modal-mcmc-joint-posterior-when-modeling-normal-distribution</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> #229 Prior Modeling<br>by <span class="h-card" translate="no"><a href="https://fediscience.org/@betanalpha" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>betanalpha</span></a></span> </p><p>Thoughts: Thorough overview of the prior elicitation process and ways to think about priors.</p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <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/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://mastodon.social/tags/metascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metascience</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/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a></p><p><a href="https://betanalpha.github.io/assets/case_studies/prior_modeling.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">betanalpha.github.io/assets/ca</span><span class="invisible">se_studies/prior_modeling.html</span></a></p>