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#bayesian

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🍀 Egghat НетBойне 🍀<p>heise online: Urteil: Autonomy-Betrug an HP war viel kleiner <a href="https://www.heise.de/news/Urteil-Autonomy-Betrug-an-HP-war-viel-kleiner-10496584.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">heise.de/news/Urteil-Autonomy-</span><span class="invisible">Betrug-an-HP-war-viel-kleiner-10496584.html</span></a><br>Von der Kaufsumme von 11,7 Mrd. $ waren wohl „nur“ knapp eine Milliarde auf „zu optimistische Buchungen“ zurückzuführen.<br><a href="https://mastodon.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #386 {bayestestR} Evaluating Evidence and Making Decisions using Bayesian Statistics by <span class="h-card" translate="no"><a href="https://scicomm.xyz/@mattansb" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mattansb</span></a></span> </p><p>Thoughts: Want to start using Bayesian stats? Here is a quick but comprehensive guide in <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a></p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.social/tags/mcmc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mcmc</span></a> <a href="https://mastodon.social/tags/easystats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>easystats</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a></p><p><a href="https://mattansb.github.io/bayesian-evidence/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mattansb.github.io/bayesian-ev</span><span class="invisible">idence/</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #382 The JASP Guidelines for Conducting and Reporting a Bayesian Analysis</p><p>Thoughts: <span class="h-card" translate="no"><a href="https://fosstodon.org/@JASPStats" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>JASPStats</span></a></span> is often people's first attempt at Bayesian statistics. But proper inference and reporting is crucial.</p><p><a href="https://mastodon.social/tags/JASP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JASP</span></a> <a href="https://mastodon.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://mastodon.social/tags/BayesFactor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BayesFactor</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a></p><p><a href="https://link.springer.com/article/10.3758/s13423-020-01798-5" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/article/10.3</span><span class="invisible">758/s13423-020-01798-5</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #377 To adjust, or not to adjust, for multiple comparisons</p><p>Thoughts: Not all-encompassing, but it does cover some relevant notions about multiplicity adjustments.</p><p><a href="https://mastodon.social/tags/FDR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FDR</span></a> <a href="https://mastodon.social/tags/FWER" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FWER</span></a> <a href="https://mastodon.social/tags/typeI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>typeI</span></a> <a href="https://mastodon.social/tags/error" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>error</span></a> <a href="https://mastodon.social/tags/bonferroni" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bonferroni</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/multiplecomparisons" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multiplecomparisons</span></a></p><p><a href="https://www.jclinepi.com/article/S0895-4356%2825%2900021-6/fulltext" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">jclinepi.com/article/S0895-435</span><span class="invisible">6%2825%2900021-6/fulltext</span></a></p>
nemo™ 🇺🇦<p>Die Luxusjacht "Bayesian" ist aus dem Meer geborgen! 🚢🌊 Nach langer Zeit wurde das spektakuläre Wrack erfolgreich geborgen. Mehr dazu im Artikel: <a href="https://www.n-tv.de/panorama/Luxusjacht-Bayesian-endlich-aus-dem-Meer-geborgen-article25849786.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">n-tv.de/panorama/Luxusjacht-Ba</span><span class="invisible">yesian-endlich-aus-dem-Meer-geborgen-article25849786.html</span></a> <a href="https://mas.to/tags/Luxusjacht" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Luxusjacht</span></a> <a href="https://mas.to/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://mas.to/tags/Bergung" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bergung</span></a> <a href="https://mas.to/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a><br><a href="https://mas.to/tags/newz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>newz</span></a></p>
MediaFaro News Digest<p>Sunken British superyacht Bayesian is raised from the seabed.</p><p>A superyacht that sank off the coast of the Italian island of Sicily last year has been raised from the seabed by a specialist salvage team.</p><p>Seven of the 22 people on board died in the sinking, including the vessel's owner, British tech tycoon Mike Lynch and his 18-year-old daughter.</p><p>The cause of the sinking is still under investigation.</p><p><a href="https://mediafaro.org/article/20250620-sunken-british-superyacht-bayesian-is-raised-from-the-seabed?mf_channel=mastodon&amp;action=forward" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mediafaro.org/article/20250620</span><span class="invisible">-sunken-british-superyacht-bayesian-is-raised-from-the-seabed?mf_channel=mastodon&amp;action=forward</span></a></p><p><a href="https://mastodon.mediafaro.org/tags/Italy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Italy</span></a> <a href="https://mastodon.mediafaro.org/tags/UK" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UK</span></a> <a href="https://mastodon.mediafaro.org/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://mastodon.mediafaro.org/tags/MikeLynch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MikeLynch</span></a></p>
Deutschland<p><a href="https://www.europesays.com/de/207526/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/de/207526/</span><span class="invisible"></span></a> Vor Sizilien: Luxusjacht „Bayesian“ wird geborgen <a href="https://pubeurope.com/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://pubeurope.com/tags/Headlines" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Headlines</span></a> <a href="https://pubeurope.com/tags/Nachrichten" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nachrichten</span></a> <a href="https://pubeurope.com/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a> <a href="https://pubeurope.com/tags/Schiffsungl%C3%BCck" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schiffsunglück</span></a> <a href="https://pubeurope.com/tags/Schlagzeilen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schlagzeilen</span></a> <a href="https://pubeurope.com/tags/TopNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopNews</span></a> <a href="https://pubeurope.com/tags/TopMeldungen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopMeldungen</span></a> <a href="https://pubeurope.com/tags/TopMeldungen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopMeldungen</span></a> <a href="https://pubeurope.com/tags/TopNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopNews</span></a></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" 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" target="_blank">#<span>Bayesian</span></a> <a href="https://ard.social/tags/Schiffsungl%C3%BCck" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schiffsunglück</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #360 Bayes Factor Design Analysis {bfda}</p><p>Thoughts: Sample size planning is confusing at first with Bayesian. But BFDA is the quick answer.</p><p><a href="https://mastodon.social/tags/bfda" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bfda</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayesfactor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesfactor</span></a> <a href="https://mastodon.social/tags/samplesize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>samplesize</span></a> <a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>power</span></a> <a href="https://mastodon.social/tags/errorrate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>errorrate</span></a></p><p><a href="https://shinyapps.org/apps/BFDA/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">shinyapps.org/apps/BFDA/</span><span class="invisible"></span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #357 Uncertainty Estimation with Conformal Prediction</p><p>Thoughts: Haven't parsed this properly but maybe be an interesting discussion point. How best to quantify uncertainty?</p><p><a href="https://mastodon.social/tags/conformalprediction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>conformalprediction</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/confidenceintervals" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>confidenceintervals</span></a> <a href="https://mastodon.social/tags/uncertainty" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>uncertainty</span></a></p><p><a href="https://m-clark.github.io/posts/2025-06-01-conformal/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">m-clark.github.io/posts/2025-0</span><span class="invisible">6-01-conformal/</span></a></p>
PLOS Biology<p>Rewarding animals to accurately report their subjective <a href="https://fediscience.org/tags/percept" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>percept</span></a> is challenging. This study formalizes this problem and overcomes it with a <a href="https://fediscience.org/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> method for estimating an animal’s subjective percept in real time during the experiment <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PLOSBiology</span></a></span> <a href="https://plos.io/3HaxiuB" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/3HaxiuB</span><span class="invisible"></span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #350 Communicating causal effect heterogeneity<br>By <span class="h-card" translate="no"><a href="https://bayes.club/@matti" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>matti</span></a></span></p><p>Thoughts: Cool guide on properly communicating uncertainty in effects. </p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/uncertainty" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>uncertainty</span></a> <a href="https://mastodon.social/tags/ggplot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ggplot</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brms</span></a> <a href="https://mastodon.social/tags/tidybayes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tidybayes</span></a> <a href="https://mastodon.social/tags/heterogeneity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>heterogeneity</span></a></p><p><a href="https://vuorre.com/heterogeneity-uncertainty/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">vuorre.com/heterogeneity-uncer</span><span class="invisible">tainty/</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" 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" target="_blank">#<span>quantum</span></a> <a href="https://mastodon.sdf.org/tags/bohm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bohm</span></a> <a href="https://mastodon.sdf.org/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #346 Jeffreys-Lindley paradox</p><p>Thoughts: I like this short explanation of the "paradox" of why frequentist and bayesian inference can differ.</p><p><a href="https://mastodon.social/tags/paradox" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paradox</span></a> <a href="https://mastodon.social/tags/frequentist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>frequentist</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/inference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>inference</span></a> <a href="https://mastodon.social/tags/bayesfactor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesfactor</span></a> <a href="https://mastodon.social/tags/pvalue" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pvalue</span></a> <a href="https://mastodon.social/tags/explanation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explanation</span></a></p><p><a href="https://michael-franke.github.io/intro-data-analysis/jeffreys-lindley-paradox.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">michael-franke.github.io/intro</span><span class="invisible">-data-analysis/jeffreys-lindley-paradox.html</span></a></p>
nemo™ 🇺🇦<p>Britische Experten enthüllen: Die Luxusjacht „Bayesian“ kenterte vor Sizilien durch extreme Winde 🌬️⚓. Trotz „unsinkbar“-Ruf war sie bei 130 km/h Wind instabil. 7 Tote, darunter Besitzer Mike Lynch. Bergung pausiert nach tödlichem Unfall bei Taucharbeiten 🤿⚠️. <a href="https://mas.to/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://mas.to/tags/YachtUngl%C3%BCck" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>YachtUnglück</span></a> <a href="https://mas.to/tags/Sizilien" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sizilien</span></a> <a href="https://mas.to/tags/MaritimeSafety" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MaritimeSafety</span></a> <a href="https://mas.to/tags/newz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>newz</span></a> </p><p><a href="https://www.n-tv.de/panorama/Britische-Experten-nennen-Gruende-fuer-Untergang-der-Luxusjacht-Bayesian-article25769235.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">n-tv.de/panorama/Britische-Exp</span><span class="invisible">erten-nennen-Gruende-fuer-Untergang-der-Luxusjacht-Bayesian-article25769235.html</span></a></p>
Deutschland<p><a href="https://www.europesays.com/de/111666/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/de/111666/</span><span class="invisible"></span></a> Vorläufiger Bericht: Luxusjacht „Bayesian“ sank wegen extremen Winds <a href="https://pubeurope.com/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://pubeurope.com/tags/Headlines" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Headlines</span></a> <a href="https://pubeurope.com/tags/Nachrichten" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nachrichten</span></a> <a href="https://pubeurope.com/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a> <a href="https://pubeurope.com/tags/Schiffsungl%C3%BCck" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schiffsunglück</span></a> <a href="https://pubeurope.com/tags/Schlagzeilen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schlagzeilen</span></a> <a href="https://pubeurope.com/tags/TopNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopNews</span></a> <a href="https://pubeurope.com/tags/TopMeldungen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopMeldungen</span></a> <a href="https://pubeurope.com/tags/TopMeldungen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopMeldungen</span></a> <a href="https://pubeurope.com/tags/TopNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TopNews</span></a> <a href="https://pubeurope.com/tags/Welt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Welt</span></a> <a href="https://pubeurope.com/tags/World" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>World</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" 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" target="_blank">#<span>Bayesian</span></a> <a href="https://ard.social/tags/Schiffsungl%C3%BCck" class="mention hashtag" rel="nofollow noopener" 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" target="_blank">#<span>pope</span></a> has a degree in <a href="https://mastodon.social/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a> and wrote a <a href="https://mastodon.social/tags/PhD" class="mention hashtag" rel="nofollow noopener" 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" target="_blank">#<span>Bayesian</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a>. </p><p><a href="https://en.m.wikipedia.org/wiki/Pope_Leo_XIV" rel="nofollow noopener" 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>
Mathematik aus Karlsruhe<p>Modell253: Nadja and Moussa focus on the intersection of statistics and machine learning, in paticular on Bayesian methods, which allow to incorporate prior knowledge, quantify incertainties, and bring insides into the „black boxes“ of machine learning.</p><p><a href="https://modellansatz.de/bayesian-learning" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">modellansatz.de/bayesian-learn</span><span class="invisible">ing</span></a></p><p><a href="https://podcasts.social/tags/Mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mathematics</span></a> <a href="https://podcasts.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://podcasts.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://podcasts.social/tags/Podcast" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Podcast</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" 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" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/nhst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nhst</span></a> <a href="https://mastodon.social/tags/nhbt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nhbt</span></a> <a href="https://mastodon.social/tags/estimation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>estimation</span></a> <a href="https://mastodon.social/tags/testing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>testing</span></a> <a href="https://mastodon.social/tags/frequentist" class="mention hashtag" rel="nofollow noopener" 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" 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>
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