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Matasoft<p>Mistral 7B excels at everyday reasoning while OLMo2 7B shines in knowledge-intensive tasks. See how both perform in our (Un)Perplexed Spready software in our latest comparison! <a href="https://matasoft.hr/qtrendcontrol/index.php/un-perplexed-spready/un-perplexed-spready-various-articles/146-comparative-analysis-of-mistral-7b-and-olmo2-7b-on-the-ollama-platform" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">matasoft.hr/qtrendcontrol/inde</span><span class="invisible">x.php/un-perplexed-spready/un-perplexed-spready-various-articles/146-comparative-analysis-of-mistral-7b-and-olmo2-7b-on-the-ollama-platform</span></a><br> <a href="https://mastodon.world/tags/AIPowered" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIPowered</span></a> <a href="https://mastodon.world/tags/ModelComparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ModelComparison</span></a> <a href="https://mastodon.world/tags/BusinessIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BusinessIntelligence</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> #265 The limited epistemic value of ‘variation analysis’ (R^2)</p><p>Thoughts: Interesting post and comments on what we can and can't say from an r2 metric.</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/r2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r2</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/variance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>variance</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/models" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>models</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>causalinference</span></a></p><p><a href="https://larspsyll.wordpress.com/2023/05/23/the-limited-epistemic-value-of-variation-analysis/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">larspsyll.wordpress.com/2023/0</span><span class="invisible">5/23/the-limited-epistemic-value-of-variation-analysis/</span></a></p>
💧🌏 Greg Cocks<p>Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery<br>--<br><a href="https://doi.org/10.1016/j.jag.2022.102716" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.jag.2022.102</span><span class="invisible">716</span></a> &lt;-- shared 2022 paper<br>--<br>“HIGHLIGHTS:<br> • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.<br> • The enhanced C-correction and the physical model reduced topographic effects.<br> • The corrected Landsat imagery time series resulted in higher accuracy.<br> • Terrain information improved classification but not as much as topographic correction.<br> • [They] recommend using topographic correction for forest cover mapping..."<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/AtmosphericCorrection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AtmosphericCorrection</span></a> <a href="https://techhub.social/tags/IlluminationCondition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IlluminationCondition</span></a> <a href="https://techhub.social/tags/LandCover" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LandCover</span></a> <a href="https://techhub.social/tags/ModelComparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ModelComparison</span></a> <a href="https://techhub.social/tags/TimeSeries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TimeSeries</span></a> <a href="https://techhub.social/tags/TopographicCorrection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TopographicCorrection</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/comparasion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>comparasion</span></a> <a href="https://techhub.social/tags/topographic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>topographic</span></a> <a href="https://techhub.social/tags/correction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>correction</span></a> <a href="https://techhub.social/tags/NDVI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NDVI</span></a> <a href="https://techhub.social/tags/forest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forest</span></a> <a href="https://techhub.social/tags/vegetation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vegetation</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/spatialanalyis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialanalyis</span></a> <a href="https://techhub.social/tags/accuracy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>accuracy</span></a> <a href="https://techhub.social/tags/forestcover" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>forestcover</span></a> <a href="https://techhub.social/tags/Russia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Russia</span></a> <a href="https://techhub.social/tags/Georgia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Georgia</span></a> <a href="https://techhub.social/tags/CaucasusMountains" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CaucasusMountains</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/landsat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>landsat</span></a> <a href="https://techhub.social/tags/elevation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>elevation</span></a> <a href="https://techhub.social/tags/DEM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DEM</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> #196 JASP Bayesian ANOVA</p><p>Thoughts: @JASPStats is used by researchers to "add some bayes factors" to their results. But, do you know what those actually reflect? Here is what their team says:</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/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/anova" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>anova</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a></p><p><a href="https://static.jasp-stats.org/about-bayesian-anova.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">static.jasp-stats.org/about-ba</span><span class="invisible">yesian-anova.html</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> #174 The Principle of Predictive Irrelevance</p><p>Thoughts: "when two competing models predict a data set equally well, that data set cannot be used to discriminate the models and the data set is evidentially irrelevant"</p><p><a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a></p><p><a href="https://www.bayesianspectacles.org/the-principle-of-predictive-irrelevance-or-why-intervals-should-not-be-used-for-model-comparison-featuring-a-point-null-hypothesis/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">bayesianspectacles.org/the-pri</span><span class="invisible">nciple-of-predictive-irrelevance-or-why-intervals-should-not-be-used-for-model-comparison-featuring-a-point-null-hypothesis/</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> #171 Guideline of Selecting &amp; Reporting Intraclass Correlation Coefficients for Reliability Research</p><p>Thoughts: "There are 10 forms of ICCs." Are you reporting the correct one? Find out!</p><p><a href="https://mastodon.social/tags/ICC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ICC</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/reliability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reliability</span></a> <a href="https://mastodon.social/tags/interraterreliability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>interraterreliability</span></a></p><p><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913118/#!po=15.7143" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">ncbi.nlm.nih.gov/pmc/articles/</span><span class="invisible">PMC4913118/#!po=15.7143</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> #51 R Functions for Variance Decomposition {varde}</p><p>Thoughts: A useful package to get more insight into your mixed effects model.</p><p><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/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/mixedeffects" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mixedeffects</span></a> <a href="https://mastodon.social/tags/lmm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lmm</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> </p><p><a href="https://github.com/jmgirard/varde" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/jmgirard/varde</span><span class="invisible"></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> #44 A note on the interpretation of incremental fit indices</p><p>Thoughts: A "good fit" is a meaningless statement. There are no rules of thumb 👍</p><p><a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>regression</span></a> <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/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> </p><p><a href="https://www.tandfonline.com/doi/full/10.1080/10705511.2022.2050730" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tandfonline.com/doi/full/10.10</span><span class="invisible">80/10705511.2022.2050730</span></a></p>
💧🌏 Greg Cocks<p>Comparative Analysis Of Performance And Mechanisms Of Flood Inundation Map Generation Using Height Above Nearest Drainage<br>--<br><a href="https://doi.org/10.1016/j.envsoft.2022.105565" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.envsoft.2022</span><span class="invisible">.105565</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/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/flood" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>flood</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/floodinundation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>floodinundation</span></a> <a href="https://techhub.social/tags/floodinundationmapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>floodinundationmapping</span></a> <a href="https://techhub.social/tags/heightabovenearestdrainage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>heightabovenearestdrainage</span></a> <a href="https://techhub.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> <a href="https://techhub.social/tags/modelconfiguration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelconfiguration</span></a> <a href="https://techhub.social/tags/performanceanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>performanceanalysis</span></a> <a href="https://techhub.social/tags/FIM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FIM</span></a> <a href="https://techhub.social/tags/HAND" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HAND</span></a> <a href="https://techhub.social/tags/NWC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NWC</span></a> <a href="https://techhub.social/tags/NWM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NWM</span></a> <a href="https://techhub.social/tags/hydrofabric" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hydrofabric</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/nationwide" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>nationwide</span></a> <a href="https://techhub.social/tags/floodmapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>floodmapping</span></a> <a href="https://techhub.social/tags/NWCH" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NWCH</span></a> <a href="https://techhub.social/tags/NHD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NHD</span></a> <a href="https://techhub.social/tags/NHDPlusHR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NHDPlusHR</span></a> <a href="https://techhub.social/tags/NHDPlus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NHDPlus</span></a> <a href="https://techhub.social/tags/inundation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inundation</span></a> <a href="https://techhub.social/tags/weather" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>weather</span></a> <a href="https://techhub.social/tags/precipitation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>precipitation</span></a> <a href="https://techhub.social/tags/catchment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>catchment</span></a> <a href="https://techhub.social/tags/ratingcurves" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ratingcurves</span></a> <a href="https://techhub.social/tags/prediction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>prediction</span></a> <a href="https://techhub.social/tags/climate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>climate</span></a> <a href="https://techhub.social/tags/NOAA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NOAA</span></a> <span class="h-card"><a href="https://techhub.social/@nws" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>nws</span></a></span> <a href="https://techhub.social/tags/USGS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>USGS</span></a></p>