'Extremal graphical modeling with latent variables via convex optimization', by Sebastian Engelke, Armeen Taeb.

http://jmlr.org/papers/v26/24-0472.html

#multivariate #graphical #sparse

Extremal graphical modeling with latent variables via convex optimization

#30DayChartChallenge 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"! #RelationshipsWeek #Animals

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!

🛠 #rstats #ggplot2 #GGally | Data: #palmerpenguins | Theme: #theme_week3_animals
📂 Código/Viz: https://t.ly/GATJi

#Day15 #Complicated #dataviz #DataVisualization #Penguins #Ecology #Morphometrics #Multivariate #ggplot2 #RStats

'Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems', by Veronica Vinciotti, Pariya Behrouzi, Reza Mohammadi.

http://jmlr.org/papers/v25/23-0056.html

#microbiome #multivariate #microbiota

Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems

I have asked students in my #machinelearning and statistical modelling course to present 5 (self-selected) application papers demonstrating the use of experimental chemistry data for #multivariate 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! #academia #statistics #teaching #highered

'Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data', by Shuo-Chieh Huang, Ruey S. Tsay.

http://jmlr.org/papers/v25/23-0882.html

#feature #regression #multivariate

Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data

'Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport', by Martin Slawski, Bodhisattva Sen.

http://jmlr.org/papers/v25/22-0058.html

#permuted #unlinked #multivariate

Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport

'More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization', by Xu Liu, Heng Lian, Jian Huang.

http://jmlr.org/papers/v25/22-0578.html

#multivariate #tensor #nonparametric

More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization

'Flexible Bayesian Product Mixture Models for Vector Autoregressions', by Suprateek Kundu, Joshua Lukemire.

http://jmlr.org/papers/v25/22-0717.html

#mixture #multivariate #mixtures

Flexible Bayesian Product Mixture Models for Vector Autoregressions