veganism.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
Veganism Social is a welcoming space on the internet for vegans to connect and engage with the broader decentralized social media community.

Administered by:

Server stats:

262
active users

#correlation

0 posts0 participants0 posts today
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> 🧵</p><p>How to assess a statistical model?<br>How to choose between variables?</p><p>Pearson's <a href="https://hachyderm.io/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> is irrelevant if you suspect that the relationship is not a straight line.</p><p>If monotonic relationship:<br>"<a href="https://hachyderm.io/tags/Spearman" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spearman</span></a>’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".<br>"<a href="https://hachyderm.io/tags/Kendall" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kendall</span></a>’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."<br>Ref: <a href="https://statisticseasily.com/kendall-tau-b-vs-spearman/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticseasily.com/kendall-t</span><span class="invisible">au-b-vs-spearman/</span></a></p><p><a href="https://hachyderm.io/tags/normality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normality</span></a> <a href="https://hachyderm.io/tags/normalDistribution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normalDistribution</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/modelEvaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelEvaluation</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataLearning</span></a> <a href="https://hachyderm.io/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correctionRatio</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/regressionRedress" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regressionRedress</span></a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributions</span></a></p>
OccuWorld<p>🤔 </p><p><a href="https://syzito.xyz/tags/Billionaires" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Billionaires</span></a> <a href="https://syzito.xyz/tags/Impoverishment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Impoverishment</span></a> <a href="https://syzito.xyz/tags/Correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Correlation</span></a> <a href="https://syzito.xyz/tags/Pandemic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pandemic</span></a> <a href="https://syzito.xyz/tags/WorkingClass" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WorkingClass</span></a> <a href="https://syzito.xyz/tags/ClassWar" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ClassWar</span></a></p>
Mark H<p>Now, I'm not saying that cocktails in general or my drinks-making ability specifically have magical healing powers but my wife, who's had cough/cold symptoms for the last few days, hasn't coughed or sneezed or sniffed once this evening while I've been whipping up some gorgeous raspberrytinis. </p><p><a href="https://mstdn.social/tags/Correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Correlation</span></a> <a href="https://mstdn.social/tags/Causation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Causation</span></a> <a href="https://mstdn.social/tags/Alcohol" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Alcohol</span></a> <a href="https://mstdn.social/tags/Cocktail" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cocktail</span></a></p>
Tim Downing<p>Very happy that our review paper "A primer on <a href="https://genomic.social/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a>-based <a href="https://genomic.social/tags/dimension" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dimension</span></a> <a href="https://genomic.social/tags/reduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reduction</span></a> methods for <a href="https://genomic.social/tags/multi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multi</span></a>-omics analysis" is out. Thanks to the reviewers &amp; journal too for their help.</p><p><a href="https://royalsocietypublishing.org/doi/10.1098/rsif.2023.0344" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">royalsocietypublishing.org/doi</span><span class="invisible">/10.1098/rsif.2023.0344</span></a><br> <br><a href="https://genomic.social/tags/genomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genomics</span></a> <a href="https://genomic.social/tags/omics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>omics</span></a> <a href="https://genomic.social/tags/systems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>systems</span></a> <a href="https://genomic.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://genomic.social/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>model</span></a> <a href="https://genomic.social/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://genomic.social/tags/biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biology</span></a> <a href="https://genomic.social/tags/transcriptomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>transcriptomics</span></a></p>
Matt Ferguson<p><a href="https://mastodon.online/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> I am a <a href="https://mastodon.online/tags/scientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scientist</span></a> and experimental <a href="https://mastodon.online/tags/biophysicist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biophysicist</span></a>. I study the regulation of <a href="https://mastodon.online/tags/transcription" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>transcription</span></a> and <a href="https://mastodon.online/tags/splicing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>splicing</span></a> of <a href="https://mastodon.online/tags/rna" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rna</span></a> by live cell <a href="https://mastodon.online/tags/singlemolecule" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>singlemolecule</span></a> <a href="https://mastodon.online/tags/fluorescence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fluorescence</span></a> <a href="https://mastodon.online/tags/microscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microscopy</span></a>. I want to understand how the <a href="https://mastodon.online/tags/genome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genome</span></a> works at the molecular level. I combine in vivo rna labelling, fluorescence <a href="https://mastodon.online/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> <a href="https://mastodon.online/tags/spectroscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spectroscopy</span></a> and <a href="https://mastodon.online/tags/3dorbitaltracking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>3dorbitaltracking</span></a>.</p>
Marko Jahnke<p>In the early 2000s, <a href="https://bonn.social/tags/SvenHenkel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SvenHenkel</span></a> and myself developed an <a href="https://bonn.social/tags/IDMEF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IDMEF</span></a>/ <a href="https://bonn.social/tags/IDXP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IDXP</span></a> compliant security event message pipelining framework for collecting and consolidating log messages, e.g., from network <a href="https://bonn.social/tags/IDS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IDS</span></a>, and <a href="https://bonn.social/tags/EDR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EDR</span></a> products. </p><p>In the messages stream, we were able to match multi-stage <a href="https://bonn.social/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> <a href="https://bonn.social/tags/DetectionRules" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DetectionRules</span></a> in near real-time (in-memory), before everything was stored in a central database. Structural graph-based <a href="https://bonn.social/tags/AnomalyDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AnomalyDetection</span></a> was developed later by some colleagues.</p><p>We called it <a href="https://bonn.social/tags/MetaIDS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MetaIDS</span></a>.</p>