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💧🌏 Greg CocksInterpreting Hydrogeochemical Interactions And Controlling Processes In Groundwater Using Advanced Statistical Techniques In The Southeast Asian Megacity - Dhaka, Bangladesh -- <a href="https://doi.org/10.1016/j.clwat.2025.100084" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1016/j.clwat.2025.100084</a> <-- shared paper -- <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatialanalysis</a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatiotemporal</a> <a href="https://techhub.social/tags/Hydrogeochemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#Hydrogeochemistry</a> <a href="https://techhub.social/tags/Groundwater" class="mention hashtag" rel="nofollow noopener" target="_blank">#Groundwater</a> <a href="https://techhub.social/tags/Quality" class="mention hashtag" rel="nofollow noopener" target="_blank">#Quality</a> <a href="https://techhub.social/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Statistics</a> <a href="https://techhub.social/tags/geostatistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#geostatistics</a> <a href="https://techhub.social/tags/Analysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#Analysis</a> <a href="https://techhub.social/tags/Irrigation" class="mention hashtag" rel="nofollow noopener" target="_blank">#Irrigation</a> <a href="https://techhub.social/tags/suitability" class="mention hashtag" rel="nofollow noopener" target="_blank">#suitability</a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="nofollow noopener" target="_blank">#water</a> <a href="https://techhub.social/tags/hydrology" class="mention hashtag" rel="nofollow noopener" target="_blank">#hydrology</a> <a href="https://techhub.social/tags/waterresources" class="mention hashtag" rel="nofollow noopener" target="_blank">#waterresources</a> <a href="https://techhub.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> geostatistics <a href="https://techhub.social/tags/waterquality" class="mention hashtag" rel="nofollow noopener" target="_blank">#waterquality</a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#model</a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://techhub.social/tags/potable" class="mention hashtag" rel="nofollow noopener" target="_blank">#potable</a> <a href="https://techhub.social/tags/drinkingwater" class="mention hashtag" rel="nofollow noopener" target="_blank">#drinkingwater</a> <a href="https://techhub.social/tags/urbanisation" class="mention hashtag" rel="nofollow noopener" target="_blank">#urbanisation</a> <a href="https://techhub.social/tags/city" class="mention hashtag" rel="nofollow noopener" target="_blank">#city</a> <a href="https://techhub.social/tags/growth" class="mention hashtag" rel="nofollow noopener" target="_blank">#growth</a> <a href="https://techhub.social/tags/population" class="mention hashtag" rel="nofollow noopener" target="_blank">#population</a> <a href="https://techhub.social/tags/stress" class="mention hashtag" rel="nofollow noopener" target="_blank">#stress</a> <a href="https://techhub.social/tags/planning" class="mention hashtag" rel="nofollow noopener" target="_blank">#planning</a> <a href="https://techhub.social/tags/management" class="mention hashtag" rel="nofollow noopener" target="_blank">#management</a> <a href="https://techhub.social/tags/industrial" class="mention hashtag" rel="nofollow noopener" target="_blank">#industrial</a> <a href="https://techhub.social/tags/residential" class="mention hashtag" rel="nofollow noopener" target="_blank">#residential</a> <a href="https://techhub.social/tags/geochemical" class="mention hashtag" rel="nofollow noopener" target="_blank">#geochemical</a> <a href="https://techhub.social/tags/testing" class="mention hashtag" rel="nofollow noopener" target="_blank">#testing</a> # Dhaka <a href="https://techhub.social/tags/Bangladesh" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bangladesh</a> <a href="https://techhub.social/tags/pumping" class="mention hashtag" rel="nofollow noopener" target="_blank">#pumping</a> <a href="https://techhub.social/tags/overpumping" class="mention hashtag" rel="nofollow noopener" target="_blank">#overpumping</a> <a href="https://techhub.social/tags/drinking" class="mention hashtag" rel="nofollow noopener" target="_blank">#drinking</a> <a href="https://techhub.social/tags/irrigation" class="mention hashtag" rel="nofollow noopener" target="_blank">#irrigation</a> <a href="https://techhub.social/tags/regional" class="mention hashtag" rel="nofollow noopener" target="_blank">#regional</a> <a href="https://techhub.social/tags/WQI" class="mention hashtag" rel="nofollow noopener" target="_blank">#WQI</a> <a href="https://techhub.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://techhub.social/tags/monitoring" class="mention hashtag" rel="nofollow noopener" target="_blank">#monitoring</a> <a href="https://techhub.social/tags/contamination" class="mention hashtag" rel="nofollow noopener" target="_blank">#contamination</a> <a href="https://techhub.social/tags/pollution" class="mention hashtag" rel="nofollow noopener" target="_blank">#pollution</a> <a href="https://techhub.social/tags/assessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#assessment</a> <a href="https://techhub.social/tags/watersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#watersecurity</a>

SpatialistsTile and glyph map experiments: David O’Sullivan explores innovative visualizations of complex <a href="https://mapstodon.space/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> data on <a href="https://mapstodon.space/tags/maps" class="mention hashtag" rel="nofollow noopener" target="_blank">#maps</a>, using a case study with three variables. His article showcases creative <a href="https://mapstodon.space/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> techniques pushing the boundaries of traditional GIS <a href="https://mapstodon.space/tags/visualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#visualization</a>. <a href="https://spatialists.ch/posts/2025/05-07-tile-and-glyph-map-experiments/" rel="nofollow noopener" translate="no" target="_blank">https://spatialists.ch/posts/2025/05-07-tile-and-glyph-map-experiments/</a> <a href="https://mapstodon.space/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://mapstodon.space/tags/GISchat" class="mention hashtag" rel="nofollow noopener" target="_blank">#GISchat</a> <a href="https://mapstodon.space/tags/geospatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#geospatial</a> <a href="https://mapstodon.space/tags/SwissGIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#SwissGIS</a>

JMLR'Extremal graphical modeling with latent variables via convex optimization', by Sebastian Engelke, Armeen Taeb.<a href="http://jmlr.org/papers/v26/24-0472.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v26/24-0472.html</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://sigmoid.social/tags/graphical" class="mention hashtag" rel="nofollow noopener" target="_blank">#graphical</a> <a href="https://sigmoid.social/tags/sparse" class="mention hashtag" rel="nofollow noopener" target="_blank">#sparse</a>

💧🌏 Greg CocksCompound Weather And Climate Events In 2024 -- <a href="https://doi.org/10.1038/s43017-025-00657-y" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1038/s43017-025-00657-y</a> <-- shared technical article -- <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> <a href="https://techhub.social/tags/global" class="mention hashtag" rel="nofollow noopener" target="_blank">#global</a> <a href="https://techhub.social/tags/extremeweather" class="mention hashtag" rel="nofollow noopener" target="_blank">#extremeweather</a> <a href="https://techhub.social/tags/climate" class="mention hashtag" rel="nofollow noopener" target="_blank">#climate</a> <a href="https://techhub.social/tags/climatechange" class="mention hashtag" rel="nofollow noopener" target="_blank">#climatechange</a> <a href="https://techhub.social/tags/highimpact" class="mention hashtag" rel="nofollow noopener" target="_blank">#highimpact</a> <a href="https://techhub.social/tags/compoundevents" class="mention hashtag" rel="nofollow noopener" target="_blank">#compoundevents</a> <a href="https://techhub.social/tags/spatiallycompounding" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatiallycompounding</a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="nofollow noopener" target="_blank">#water</a> <a href="https://techhub.social/tags/hydrology" class="mention hashtag" rel="nofollow noopener" target="_blank">#hydrology</a> <a href="https://techhub.social/tags/SouthernAfrica" class="mention hashtag" rel="nofollow noopener" target="_blank">#SouthernAfrica</a> <a href="https://techhub.social/tags/HurricaneHelene" class="mention hashtag" rel="nofollow noopener" target="_blank">#HurricaneHelene</a> <a href="https://techhub.social/tags/heatwave" class="mention hashtag" rel="nofollow noopener" target="_blank">#heatwave</a> <a href="https://techhub.social/tags/drought" class="mention hashtag" rel="nofollow noopener" target="_blank">#drought</a> <a href="https://techhub.social/tags/risk" class="mention hashtag" rel="nofollow noopener" target="_blank">#risk</a> <a href="https://techhub.social/tags/hazard" class="mention hashtag" rel="nofollow noopener" target="_blank">#hazard</a> <a href="https://techhub.social/tags/flood" class="mention hashtag" rel="nofollow noopener" target="_blank">#flood</a> <a href="https://techhub.social/tags/flooding" class="mention hashtag" rel="nofollow noopener" target="_blank">#flooding</a> <a href="https://techhub.social/tags/marine" class="mention hashtag" rel="nofollow noopener" target="_blank">#marine</a> <a href="https://techhub.social/tags/ocean" class="mention hashtag" rel="nofollow noopener" target="_blank">#ocean</a> <a href="https://techhub.social/tags/ecosystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#ecosystems</a> <a href="https://techhub.social/tags/humanimpacts" class="mention hashtag" rel="nofollow noopener" target="_blank">#humanimpacts</a> <a href="https://techhub.social/tags/naturaldisaster" class="mention hashtag" rel="nofollow noopener" target="_blank">#naturaldisaster</a> <a href="https://techhub.social/tags/naturalhazards" class="mention hashtag" rel="nofollow noopener" target="_blank">#naturalhazards</a> <a href="https://techhub.social/tags/infrastructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#infrastructure</a> <a href="https://techhub.social/tags/costs" class="mention hashtag" rel="nofollow noopener" target="_blank">#costs</a> <a href="https://techhub.social/tags/economics" class="mention hashtag" rel="nofollow noopener" target="_blank">#economics</a> <a href="https://techhub.social/tags/society" class="mention hashtag" rel="nofollow noopener" target="_blank">#society</a> <a href="https://techhub.social/tags/USA" class="mention hashtag" rel="nofollow noopener" target="_blank">#USA</a> <a href="https://techhub.social/tags/Nepal" class="mention hashtag" rel="nofollow noopener" target="_blank">#Nepal</a> <a href="https://techhub.social/tags/China" class="mention hashtag" rel="nofollow noopener" target="_blank">#China</a> <a href="https://techhub.social/tags/Australia" class="mention hashtag" rel="nofollow noopener" target="_blank">#Australia</a> <a href="https://techhub.social/tags/soil" class="mention hashtag" rel="nofollow noopener" target="_blank">#soil</a> <a href="https://techhub.social/tags/rainfall" class="mention hashtag" rel="nofollow noopener" target="_blank">#rainfall</a> <a href="https://techhub.social/tags/precipitation" class="mention hashtag" rel="nofollow noopener" target="_blank">#precipitation</a> <a href="https://techhub.social/tags/storms" class="mention hashtag" rel="nofollow noopener" target="_blank">#storms</a> <a href="https://techhub.social/tags/UK" class="mention hashtag" rel="nofollow noopener" target="_blank">#UK</a> <a href="https://techhub.social/tags/damage" class="mention hashtag" rel="nofollow noopener" target="_blank">#damage</a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatialanalysis</a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatiotemporal</a> <a href="https://techhub.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://techhub.social/tags/monitoring" class="mention hashtag" rel="nofollow noopener" target="_blank">#monitoring</a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#remotesensing</a> <a href="https://techhub.social/tags/earthobservation" class="mention hashtag" rel="nofollow noopener" target="_blank">#earthobservation</a> <a href="https://techhub.social/tags/dynamics" class="mention hashtag" rel="nofollow noopener" target="_blank">#dynamics</a> <a href="https://techhub.social/tags/mitigation" class="mention hashtag" rel="nofollow noopener" target="_blank">#mitigation</a> <a href="https://techhub.social/tags/planning" class="mention hashtag" rel="nofollow noopener" target="_blank">#planning</a> <a href="https://techhub.social/tags/watersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#watersecurity</a> <a href="https://techhub.social/tags/foodsecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#foodsecurity</a> <a href="https://techhub.social/tags/agriculture" class="mention hashtag" rel="nofollow noopener" target="_blank">#agriculture</a> <a href="https://techhub.social/tags/crops" class="mention hashtag" rel="nofollow noopener" target="_blank">#crops</a> <a href="https://techhub.social/tags/impacts" class="mention hashtag" rel="nofollow noopener" target="_blank">#impacts</a>

Miki :rstats:<a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#30DayChartChallenge</a> Día 15: Complicated Relationships! 🐧↔️🐧Hoy, una matriz de scatter plots con ggpairs para explorar las relaciones entre medidas corporales (Long. Pico, Long. Aleta, Masa Corporal) en los pingüinos de Palmer. ¡Perfecto para el prompt "Complicated"! <a href="https://techhub.social/tags/RelationshipsWeek" class="mention hashtag" rel="nofollow noopener" target="_blank">#RelationshipsWeek</a> <a href="https://techhub.social/tags/Animals" class="mention hashtag" rel="nofollow noopener" target="_blank">#Animals</a>La matriz lo enseña todo: * Diagonal: Distribución de cada medida (densidad). * Abajo: Scatter plots de cada par de medidas (coloreado por Especie). * Arriba: ¡La correlación $ entre ellas!Se ven las fuertes relaciones positivas (más grande = aleta más larga) y cómo las especies (Adelie, Chinstrap, Gentoo) forman clusters distintos en este espacio de rasgos. ¡Una forma densa de ver muchas relaciones a la vez!🛠 <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/GGally" class="mention hashtag" rel="nofollow noopener" target="_blank">#GGally</a> | Data: <a href="https://techhub.social/tags/palmerpenguins" class="mention hashtag" rel="nofollow noopener" target="_blank">#palmerpenguins</a> | Theme: <a href="https://techhub.social/tags/theme_week3_animals" class="mention hashtag" rel="nofollow noopener" target="_blank">#theme_week3_animals</a> 📂 Código/Viz: <a href="https://t.ly/GATJi" rel="nofollow noopener" translate="no" target="_blank">https://t.ly/GATJi</a><a href="https://techhub.social/tags/Day15" class="mention hashtag" rel="nofollow noopener" target="_blank">#Day15</a> <a href="https://techhub.social/tags/Complicated" class="mention hashtag" rel="nofollow noopener" target="_blank">#Complicated</a> <a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataviz</a> <a href="https://techhub.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataVisualization</a> <a href="https://techhub.social/tags/Penguins" class="mention hashtag" rel="nofollow noopener" target="_blank">#Penguins</a> <a href="https://techhub.social/tags/Ecology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Ecology</a> <a href="https://techhub.social/tags/Morphometrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Morphometrics</a> <a href="https://techhub.social/tags/Multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#Multivariate</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#RStats</a>

JMLR'Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems', by Veronica Vinciotti, Pariya Behrouzi, Reza Mohammadi.<a href="http://jmlr.org/papers/v25/23-0056.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0056.html</a> <a href="https://sigmoid.social/tags/microbiome" class="mention hashtag" rel="nofollow noopener" target="_blank">#microbiome</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://sigmoid.social/tags/microbiota" class="mention hashtag" rel="nofollow noopener" target="_blank">#microbiota</a>

Gregor KosI have asked students in my <a href="https://mstdn.ca/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> and statistical modelling course to present 5 (self-selected) application papers demonstrating the use of experimental chemistry data for <a href="https://mstdn.ca/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> models. The focus of the short presentation was on model quality parameters. 3 / 5 papers did not have any. Hopefully, this was not a representative sample. But there is work to be done! <a href="https://mstdn.ca/tags/academia" class="mention hashtag" rel="nofollow noopener" target="_blank">#academia</a> <a href="https://mstdn.ca/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://mstdn.ca/tags/teaching" class="mention hashtag" rel="nofollow noopener" target="_blank">#teaching</a> <a href="https://mstdn.ca/tags/highered" class="mention hashtag" rel="nofollow noopener" target="_blank">#highered</a>

JMLR'Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data', by Shuo-Chieh Huang, Ruey S. Tsay.<a href="http://jmlr.org/papers/v25/23-0882.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0882.html</a> <a href="https://sigmoid.social/tags/feature" class="mention hashtag" rel="nofollow noopener" target="_blank">#feature</a> <a href="https://sigmoid.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#regression</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a>

JMLR'Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport', by Martin Slawski, Bodhisattva Sen.<a href="http://jmlr.org/papers/v25/22-0058.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0058.html</a> <a href="https://sigmoid.social/tags/permuted" class="mention hashtag" rel="nofollow noopener" target="_blank">#permuted</a> <a href="https://sigmoid.social/tags/unlinked" class="mention hashtag" rel="nofollow noopener" target="_blank">#unlinked</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a>

JMLR'More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization', by Xu Liu, Heng Lian, Jian Huang.<a href="http://jmlr.org/papers/v25/22-0578.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0578.html</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://sigmoid.social/tags/tensor" class="mention hashtag" rel="nofollow noopener" target="_blank">#tensor</a> <a href="https://sigmoid.social/tags/nonparametric" class="mention hashtag" rel="nofollow noopener" target="_blank">#nonparametric</a>

JMLR'Flexible Bayesian Product Mixture Models for Vector Autoregressions', by Suprateek Kundu, Joshua Lukemire.<a href="http://jmlr.org/papers/v25/22-0717.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0717.html</a> <a href="https://sigmoid.social/tags/mixture" class="mention hashtag" rel="nofollow noopener" target="_blank">#mixture</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://sigmoid.social/tags/mixtures" class="mention hashtag" rel="nofollow noopener" target="_blank">#mixtures</a>

JMLR'Spatial meshing for general Bayesian multivariate models', by Michele Peruzzi, David B. Dunson.<a href="http://jmlr.org/papers/v25/22-0083.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0083.html</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://sigmoid.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://sigmoid.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#bayesian</a>

JMLR'Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport', by Ricardo Baptista, Youssef Marzouk, Rebecca Morrison, Olivier Zahm.<a href="http://jmlr.org/papers/v25/21-0022.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v25/21-0022.html</a> <a href="https://sigmoid.social/tags/hessian" class="mention hashtag" rel="nofollow noopener" target="_blank">#hessian</a> <a href="https://sigmoid.social/tags/probabilistic" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilistic</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a>

JMLR'Dimension Reduction and MARS', by Yu Liu LIU, Degui Li, Yingcun Xia.<a href="http://jmlr.org/papers/v24/22-1422.html" rel="nofollow noopener" translate="no" target="_blank">http://jmlr.org/papers/v24/22-1422.html</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://sigmoid.social/tags/splines" class="mention hashtag" rel="nofollow noopener" target="_blank">#splines</a> <a href="https://sigmoid.social/tags/spline" class="mention hashtag" rel="nofollow noopener" target="_blank">#spline</a>

acemaxxUS <a href="https://econtwitter.net/tags/inflation" class="mention hashtag" rel="nofollow noopener" target="_blank">#inflation</a> - <a href="https://econtwitter.net/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> Core Trend <a href="https://econtwitter.net/tags/MCT" class="mention hashtag" rel="nofollow noopener" target="_blank">#MCT</a> <a href="https://econtwitter.net/tags/inflation" class="mention hashtag" rel="nofollow noopener" target="_blank">#inflation</a> decreased to 2.9% in June from 3.2% (a downward revision) in May, chart @newyorkfed <a href="https://tinyurl.com/bden9swy" rel="nofollow noopener" target="_blank">https://tinyurl.com/bden9swy</a>

Published papers at TMLRModelling sequential branching dynamics with a multivariate branching Gaussian processElvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis BoukouvalasAction editor: Patrick Flaherty.<a href="https://openreview.net/forum?id=9KoBOlstTq" rel="nofollow noopener" target="_blank">https://openreview.net/forum?id=9KoBOlstTq</a><a href="https://sigmoid.social/tags/branching" class="mention hashtag" rel="nofollow noopener" target="_blank">#branching</a> <a href="https://sigmoid.social/tags/branch" class="mention hashtag" rel="nofollow noopener" target="_blank">#branch</a> <a href="https://sigmoid.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a>

Breaking TapsAnyone know of software that will help optimize multi-variate experiments? Something sample-efficient since these are manually generated test results.I found <a href="https://github.com/yunshengtian/AutoOED/" rel="nofollow noopener" target="_blank">https://github.com/yunshengtian/AutoOED/</a> which looks great, but having a hard time getting it working at the moment<a href="https://universeodon.com/tags/software" class="mention hashtag" rel="nofollow noopener" target="_blank">#software</a> <a href="https://universeodon.com/tags/optimization" class="mention hashtag" rel="nofollow noopener" target="_blank">#optimization</a> <a href="https://universeodon.com/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a> <a href="https://universeodon.com/tags/designofexperiments" class="mention hashtag" rel="nofollow noopener" target="_blank">#designofexperiments</a> <a href="https://universeodon.com/tags/ExperimentalDesign" class="mention hashtag" rel="nofollow noopener" target="_blank">#ExperimentalDesign</a>

Bert van der VeenOur article <a href="https://ecoevo.social/@MethodsEcolEvol" class="u-url mention" rel="nofollow noopener" target="_blank">@MethodsEcolEvol</a> on incorporating predictors in a model-based ordination is now out!We develop a new implementation for constrained ordination in the <a href="https://ecoevo.social/tags/GLLVM" class="mention hashtag" rel="nofollow noopener" target="_blank">#GLLVM</a> R-package, but also develop a new kind of ordination. Concurrent ordination combines the best of unconstrained and constrained ordination. It leaves the latent variables unconstrained but uses predictors to inform the ordination anyway! <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.14035?utm_source=google&utm_medium=paidsearch&utm_campaign=R3MR425&utm_content=LifeSciences" rel="nofollow noopener" target="_blank">https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.14035?utm_source=google&utm_medium=paidsearch&utm_campaign=R3MR425&utm_content=LifeSciences</a><a href="https://ecoevo.social/tags/ordination" class="mention hashtag" rel="nofollow noopener" target="_blank">#ordination</a> <a href="https://ecoevo.social/tags/StatisticalEcology" class="mention hashtag" rel="nofollow noopener" target="_blank">#StatisticalEcology</a> <a href="https://ecoevo.social/tags/multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#multivariate</a>

Clelia SiramiJob ad: postdoc computer science - Wageningen Netherlands

Physalia-coursesAnother fantastic course delivered by <a href="https://mastodon.social/@gavinsimpson" class="u-url mention" rel="nofollow noopener" target="_blank">@gavinsimpson</a> ! We hope you enjoy this week of virtual learning with us👏🗞️Want to join the 2023 course? Have a look at the following: <a href="https://physalia-courses.org/courses-workshops/" rel="nofollow noopener" target="_blank">https://physalia-courses.org/courses-workshops/</a><a href="https://mas.to/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://mas.to/tags/Multivariate" class="mention hashtag" rel="nofollow noopener" target="_blank">#Multivariate</a> <a href="https://mas.to/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> <a href="https://mas.to/tags/analysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#analysis</a> <a href="https://mas.to/tags/veganR" class="mention hashtag" rel="nofollow noopener" target="_blank">#veganR</a> <a href="https://mas.to/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataScience</a>

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