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Andrzej Wąsowski ☑️ 🟥<p><a href="https://en.itu.dk/About-ITU/Press/News-from-ITU/2025/ITU-researcher-wants-to-improve-statistics-models" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.itu.dk/About-ITU/Press/News</span><span class="invisible">-from-ITU/2025/ITU-researcher-wants-to-improve-statistics-models</span></a></p><p>One researcher wants to improve statistical models </p><p>And also, a new fantastic Postdoc joins the SQUARE research group to work on <a href="https://social.itu.dk/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a> <a href="https://social.itu.dk/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a> methods and pose estimation for <a href="https://social.itu.dk/tags/robots" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>robots</span></a>:</p><p><a href="https://en.itu.dk/About-ITU/Press/News-from-ITU/2025/ITU-receives-two-Danish-Data-Science-Academy-Fellowships" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.itu.dk/About-ITU/Press/News</span><span class="invisible">-from-ITU/2025/ITU-receives-two-Danish-Data-Science-Academy-Fellowships</span></a></p><p>2025 was a very good year ...</p>
tagesschau<p>Vor Sizilien: Luxusjacht "Bayesian" wird geborgen</p><p>Die Bergung des 56 Meter langen Segelschiffes hatte sich mehrfach verzögert. Nun ist es an der Oberfläche. Bei ihrem Untergang starben der britische Milliardär Mike Lynch und sechs weitere Insassen.</p><p>➡️ <a href="https://www.tagesschau.de/ausland/europa/bayesian-bergung-102.html?at_medium=mastodon&amp;at_campaign=tagesschau.de" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tagesschau.de/ausland/europa/b</span><span class="invisible">ayesian-bergung-102.html?at_medium=mastodon&amp;at_campaign=tagesschau.de</span></a></p><p><a href="https://ard.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a> <a href="https://ard.social/tags/Schiffsungl%C3%BCck" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schiffsunglück</span></a></p>
Daniel Lakeland<p><a href="https://aeon.co/essays/no-schrodingers-cat-is-not-alive-and-dead-at-the-same-time" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">aeon.co/essays/no-schrodingers</span><span class="invisible">-cat-is-not-alive-and-dead-at-the-same-time</span></a></p><p>This is a pretty good article for showing how confused the interpretation of QM is. And its a good article to understand why i personally side with Bohm and Bell in thinking the pilot wave theory is the one most reasonable to believe. Because the pilot wave theory has the following quality. The theory is a mapping from initial position at time t=0 to final position at time t=1...Its deterministic, but our knowledge of the initial condition is not<br><a href="https://mastodon.sdf.org/tags/quantum" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>quantum</span></a> <a href="https://mastodon.sdf.org/tags/bohm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bohm</span></a> <a href="https://mastodon.sdf.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a></p>
tagesschau<p>Vorläufiger Bericht: Luxusjacht "Bayesian" sank wegen extremen Winds</p><p>Bei dem Untergang der "Bayesian" vor Sizilien kamen im vergangenen Jahr sieben Menschen ums Leben. Nun gibt ein vorläufiger Bericht Hinweise auf die Unglücksursache der Luxusjacht, die eigentlich als "unsinkbar" galt.</p><p>➡️ <a href="https://www.tagesschau.de/ausland/europa/bayesian-bericht-unglueck-100.html?at_medium=mastodon&amp;at_campaign=tagesschau.de" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tagesschau.de/ausland/europa/b</span><span class="invisible">ayesian-bericht-unglueck-100.html?at_medium=mastodon&amp;at_campaign=tagesschau.de</span></a></p><p><a href="https://ard.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a> <a href="https://ard.social/tags/Schiffsungl%C3%BCck" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schiffsunglück</span></a></p>
safest_integer<p>The new <a href="https://mastodon.social/tags/pope" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pope</span></a> has a degree in <a href="https://mastodon.social/tags/mathematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mathematics</span></a> and wrote a <a href="https://mastodon.social/tags/PhD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PhD</span></a> thesis on "The role of the local prior" which I assume is a contribution to <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/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a>. </p><p><a href="https://en.m.wikipedia.org/wiki/Pope_Leo_XIV" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.m.wikipedia.org/wiki/Pope_L</span><span class="invisible">eo_XIV</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> #335 Bayesian New Statistics</p><p>Thoughts: An influential paper with a great overview of different approaches to research.</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/nhst" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nhst</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/estimation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>estimation</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/frequentist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>frequentist</span></a> <br> <a href="https://link.springer.com/content/pdf/10.3758/s13423-016-1221-4.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/content/pdf/</span><span class="invisible">10.3758/s13423-016-1221-4.pdf</span></a></p>
tagesschau<p>Die schwierige Bergung der Luxusjacht "Bayesian"</p><p>Eine riesige Luxusjacht sinkt im Mittelmeer: Das Unglück der "Bayesian", bei dem sieben Menschen starben, sorgte 2024 für Schlagzeilen und Spekulationen. Nun soll das Wrack geborgen werden, doch die Aktion verzögert sich.</p><p>➡️ <a href="https://www.tagesschau.de/ausland/europa/bayesian-bergung-100.html?at_medium=mastodon&amp;at_campaign=tagesschau.de" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tagesschau.de/ausland/europa/b</span><span class="invisible">ayesian-bergung-100.html?at_medium=mastodon&amp;at_campaign=tagesschau.de</span></a></p><p><a href="https://ard.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</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> #329 Bayesian versus frequentist approaches in multilevel single-case designs: on power and type I error rate</p><p>Thoughts: An interesting project highlighting some benefits of <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> methods for <a href="https://mastodon.social/tags/nof1" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nof1</span></a> designs.</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/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/sced" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sced</span></a> <a href="https://mastodon.social/tags/mixedeffects" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mixedeffects</span></a></p><p><a href="https://osf.io/k7b82/files/osfstorage" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">osf.io/k7b82/files/osfstorage</span><span class="invisible"></span></a></p>
💧🌏 Greg Cocks<p>Observations Reveal Changing Coastal Storm Extremes Around The United States<br>--<br><a href="https://doi.org/10.1038/s41558-025-02315-z" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1038/s41558-025-023</span><span class="invisible">15-z</span></a> &lt;-- shared paper<br>--<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/extremeweather" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>extremeweather</span></a> <a href="https://techhub.social/tags/coast" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>coast</span></a> <a href="https://techhub.social/tags/coastal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>coastal</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatiotemporal</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> <a href="https://techhub.social/tags/communities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>communities</span></a> <a href="https://techhub.social/tags/publicsafety" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>publicsafety</span></a> <a href="https://techhub.social/tags/climatechange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>climatechange</span></a> <a href="https://techhub.social/tags/stormsurge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stormsurge</span></a> <a href="https://techhub.social/tags/USA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>USA</span></a> <a href="https://techhub.social/tags/flood" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>flood</span></a> <a href="https://techhub.social/tags/flooding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>flooding</span></a> <a href="https://techhub.social/tags/risk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>risk</span></a> <a href="https://techhub.social/tags/hazard" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hazard</span></a> <a href="https://techhub.social/tags/damage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>damage</span></a> <a href="https://techhub.social/tags/infrastructure" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>infrastructure</span></a> <a href="https://techhub.social/tags/cost" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cost</span></a> <a href="https://techhub.social/tags/economics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>economics</span></a> <a href="https://techhub.social/tags/mitigation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mitigation</span></a> <a href="https://techhub.social/tags/insurance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>insurance</span></a> <a href="https://techhub.social/tags/sealevel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sealevel</span></a> <a href="https://techhub.social/tags/SLR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SLR</span></a> <a href="https://techhub.social/tags/sealevelrise" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sealevelrise</span></a> <a href="https://techhub.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a> <a href="https://techhub.social/tags/hierarchical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hierarchical</span></a> <a href="https://techhub.social/tags/framework" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>framework</span></a> <a href="https://techhub.social/tags/tideguage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tideguage</span></a> <a href="https://techhub.social/tags/tide" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tide</span></a> <a href="https://techhub.social/tags/tidal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tidal</span></a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>water</span></a> <a href="https://techhub.social/tags/hydrology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hydrology</span></a> <a href="https://techhub.social/tags/hydrography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hydrography</span></a> <a href="https://techhub.social/tags/extremes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>extremes</span></a> <a href="https://techhub.social/tags/intensity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intensity</span></a> <a href="https://techhub.social/tags/monitoring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>monitoring</span></a></p>
pglpm<p><span class="h-card" translate="no"><a href="https://fosstodon.org/@Posit" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Posit</span></a></span> </p><p>It's important to emphasize that "realistic-looking" data does *not* mean "realistic" data – especially high-dimensional data (unfortunately that post doesn't warn against this).</p><p>If one had an algorithm that generated realistic data for a given inference problem, it would mean that that inference problem had been solved. So: for educational purposes, why not. But for validation-like purposes, use with uttermost caution and at your own peril.</p><p><a href="https://c.im/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://c.im/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> <a href="https://c.im/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a></p>
Alex Holcombe<p>A <a href="https://fediscience.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> blogpost, by two of my undergraduate students! It's their report on their learning Bayesian modeling by applying it to my lab's data.<br><a href="https://alexholcombe.github.io/brms_psychometric_variableGuessRate_lapseRate/DenisonBlog.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">alexholcombe.github.io/brms_ps</span><span class="invisible">ychometric_variableGuessRate_lapseRate/DenisonBlog.html</span></a><br>Summary: we learned to use brms. But had trouble when we added more than one or two factors to the model. Little idea why; haven't had time to tinker much with that.</p>
Peter McMahan<p>I'm explaining Hamiltonian Monte Carlo in my grad-level stats class tomorrow, so I put together this animation illustrating HMC in one dimension. I find it very soothing.</p><p><a href="https://mas.to/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a> <a href="https://mas.to/tags/BayesianInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BayesianInference</span></a> <a href="https://mas.to/tags/posterior" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>posterior</span></a> <a href="https://mas.to/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://mas.to/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> <a href="https://mas.to/tags/rlang" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rlang</span></a> <a href="https://mas.to/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a> <a href="https://mas.to/tags/MCMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MCMC</span></a></p>
🐜🦅<p>Got the physical copies of my Cambridge element in the mail. A reminder that the whole book is free to download until the end of February: <a href="https://doi.org/10.1017/9781009210171" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1017/9781009210171</span><span class="invisible"></span></a></p><p><a href="https://fediphilosophy.org/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probability</span></a> <a href="https://fediphilosophy.org/tags/philosophyofscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>philosophyofscience</span></a> <a href="https://fediphilosophy.org/tags/confirmation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>confirmation</span></a> <a href="https://fediphilosophy.org/tags/induction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>induction</span></a> <a href="https://fediphilosophy.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a></p>
EdinbR (R usergroup)<p>GO GO GO! We're live next week in 40 George Square, <a href="https://fosstodon.org/tags/Edinburgh" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Edinburgh</span></a> </p><p>Come and hear Isabella and Jordan talk about <a href="https://fosstodon.org/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a> <a href="https://fosstodon.org/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Statistics</span></a> in <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> </p><p>Details: <a href="http://edinbr.org/edinbr/2025/02/17/February-meeting.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">edinbr.org/edinbr/2025/02/17/F</span><span class="invisible">ebruary-meeting.html</span></a></p><p><a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/Scotland" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Scotland</span></a> <a href="https://fosstodon.org/tags/MeetUp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MeetUp</span></a></p>
Angela Glansbury 🚽<p>what's your funniest accidental death of 2024 <a href="https://todon.nl/tags/2024Poll" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>2024Poll</span></a> <a href="https://todon.nl/tags/poll" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>poll</span></a> </p><p>Shipping tycoon <a href="https://todon.nl/tags/AngelaChao" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AngelaChao</span></a> drink driving her <a href="https://todon.nl/tags/Tesla" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Tesla</span></a> into a pond and drowning? 🌊 🚗 </p><p>Tech entrepreneur <a href="https://todon.nl/tags/MikeLynch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MikeLynch</span></a> being accidentally assassinated by <a href="https://todon.nl/tags/HP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HP</span></a> when his 56m yacht the <a href="https://todon.nl/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a> sank off the coast of Sicily?🌊⛵ </p><p><a href="https://todon.nl/tags/BrianThompson" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BrianThompson</span></a> the late healthcare CEO who accidentally intercepted a mysterious bullet fired probably from a <a href="https://todon.nl/tags/Welrod" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Welrod</span></a> or <a href="https://todon.nl/tags/StationSIX9" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>StationSIX9</span></a> ⚰️🤔 </p><p>Billionaire founder of high street fashion chain <a href="https://todon.nl/tags/Mango" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mango</span></a> <a href="https://todon.nl/tags/IsakAndic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IsakAndic</span></a> who fell into a ravine🏔️🥴</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>
Pierre-Simon Laplace<p>📢 Episode 120 is Live!</p><p><a href="https://learnbayesstats.com/episodes/8f372809-3905-4110-8e1b-2f5ca1f95b33" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">learnbayesstats.com/episodes/8</span><span class="invisible">f372809-3905-4110-8e1b-2f5ca1f95b33</span></a></p><p>🎙️ In this LBS episode, Alexandre Andorra, Liza Semenova, and Chris Wymant explore the intersection of epidemiology, Bayesian statistics, and data science!</p><p><a href="https://mstdn.science/tags/LearningBayesianStatistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LearningBayesianStatistics</span></a> <a href="https://mstdn.science/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a></p>
Nick Byrd, Ph.D.<p>A <a href="https://nerdculture.de/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bayesian</span></a>, <a href="https://nerdculture.de/tags/DualProcessTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DualProcessTheory</span></a> inspired, multinomial approach to moral dilemmas found the<br>- “do no harm” impulse predicted by class, but not reflection.<br>- “some harm for greater good” responses predicted by reflection, not class.</p><p><a href="https://doi.org/10.1007/s11186-024-09584-1" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1007/s11186-024-095</span><span class="invisible">84-1</span></a></p><p><a href="https://nerdculture.de/tags/xPhi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>xPhi</span></a> <a href="https://nerdculture.de/tags/psycholoy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>psycholoy</span></a> <a href="https://nerdculture.de/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a></p>
Cheng Soon Ong<p>New book on Bayesian inference and human cognition. I have always enjoyed material from Tom Griffiths and also from Josh Tenenbaum, and I expect this new collected chapters would also be excellent. If you want to explore more literature, the contributing authors of individual chapters are also wonderful.</p><p><a href="https://mitpress.ublish.com/ebook/bayesian-models-of-cognition-reverse-engineering-the-mind-preview/12799/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mitpress.ublish.com/ebook/baye</span><span class="invisible">sian-models-of-cognition-reverse-engineering-the-mind-preview/12799/</span></a></p><p><a href="https://masto.ai/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://masto.ai/tags/Cognition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cognition</span></a> <a href="https://masto.ai/tags/bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesian</span></a></p>
pglpm<p><span class="h-card" translate="no"><a href="https://lgbtqia.space/@AeonCypher" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>AeonCypher</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.world/@paninid" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>paninid</span></a></span> </p><p>"A p-value is an <a href="https://c.im/tags/estimate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>estimate</span></a> of p(Data | Null Hypothesis). " – not correct. A p-value is an estimate of</p><p>p(Data or other imagined data | Null Hypothesis)</p><p>so not even just of the actual data you have. Which is why p-values depend on your stopping rule (and do not satisfy the "likelihood principle"). In this regard, see Jeffreys's quote below.</p><p>Imagine you design an experiment this way: "I'll test 10 subjects, and in the meantime I apply for a grant. At the time the 10th subject is tested, I'll know my application's outcome. If the outcome is positive, I'll test 10 more subjects; if it isn't, I'll stop". Not an unrealistic situation.</p><p>With this stopping rule, your p-value will depend on the probability that you get the grant. This is not a joke.</p><p>"*What the use of P implies, therefore, is that a hypothesis that may be true may be rejected because it has not predicted observable results that have not occurred.* This seems a remarkable procedure. On the face of it the fact that such results have not occurred might more reasonably be taken as evidence for the law, not against it." – H. Jeffreys, "Theory of Probability" §&nbsp;VII.7.2 (emphasis in the original) &lt;<a href="https://doi.org/10.1093/oso/9780198503682.001.0001" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1093/oso/9780198503</span><span class="invisible">682.001.0001</span></a>&gt;.</p><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> <a href="https://c.im/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statistics</span></a></p>