okanogen VerminEnemyFromWithin<p>Back to topic.<br>Modelling has changed and improved a lot. Mostly due to more powerful computers allowing more brute force analysis. The math tools really haven't changed that much. Early commercial modelling included programs like <a href="https://mastodon.social/tags/Surfer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Surfer</span></a> decades ago and used <a href="https://mastodon.social/tags/Kriging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kriging</span></a>, (<a href="https://mastodon.social/tags/Gaussian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gaussian</span></a> peocess regression) of geostatistical data. Most current geospatial modelling uses this technique, often enhanced with <a href="https://mastodon.social/tags/BayesianDataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BayesianDataAnalysis</span></a> (read the book by that name). So now the table is mostly set. 5/</p>
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#bayesiandataanalysis
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Michael Franke<p>Computing Bayes Factors is difficult in general. But for issues like "parameter > number", there is a nice method: _encompassing models_. It's simple, elegant and powerful, i.o.w., it's beautifully Bayesian. 🤩</p><p>Here is an overview: tinyurl.com/3pxs2pc9</p><p><a href="https://fediscience.org/tags/BDA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BDA</span></a> <a href="https://fediscience.org/tags/Bayes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayes</span></a> <a href="https://fediscience.org/tags/BayesianDataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BayesianDataAnalysis</span></a> <a href="https://fediscience.org/tags/ml" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ml</span></a> <a href="https://fediscience.org/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a></p>
Michael Franke<p>New paper on the production of verbal expressions of (uncertain) probability <a href="https://fediscience.org/tags/xprag" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xprag</span></a>. Using <a href="https://fediscience.org/tags/BayesianDataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BayesianDataAnalysis</span></a> to investigate structural properties of the latent <a href="https://fediscience.org/tags/semantics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>semantics</span></a> of expressions like "probable" or "low chance" in a probabilistic model of <a href="https://fediscience.org/tags/pragmatic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pragmatic</span></a> utterance choice.<br>Joint w/ Bob van Tiel & Uli Sauerland. <a href="https://fediscience.org/tags/openaccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openaccess</span></a> <br><a href="https://doi.org/10.1162/opmi_a_00066" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1162/opmi_a_00066</span><span class="invisible"></span></a></p>
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