#mixtures — Public Fediverse posts

Food additive mixtures in French children and adults: the nationally representative Esteban study https://www.diningandcooking.com/2473573/food-additive-mixtures-in-french-children-and-adults-the-nationally-representative-esteban-study/ #adults #children #diseases #EnvironmentalSciences #Esteban #FoodAdditives #francais #france #French #FrenchMeals #FrenchNationalSurvey #HealthCare #HumanitiesAndSocialSciences #meals #MedicalResearch #Mixtures #multidisciplinary #RiskFactors #science

Food additive mixtures in French children and adults: the nationally representative Esteban study https://www.diningandcooking.com/2473573/food-additive-mixtures-in-french-children-and-adults-the-nationally-representative-esteban-study/ #adults #children #diseases #EnvironmentalSciences #Esteban #FoodAdditives #francais #france #French #FrenchMeals #FrenchNationalSurvey #HealthCare #HumanitiesAndSocialSciences #meals #MedicalResearch #Mixtures #multidisciplinary #RiskFactors #science

Food additive mixtures in French children and adults: the nationally representative Esteban study https://www.diningandcooking.com/2473573/food-additive-mixtures-in-french-children-and-adults-the-nationally-representative-esteban-study/ #adults #children #diseases #EnvironmentalSciences #Esteban #FoodAdditives #francais #france #French #FrenchMeals #FrenchNationalSurvey #HealthCare #HumanitiesAndSocialSciences #meals #MedicalResearch #Mixtures #multidisciplinary #RiskFactors #science

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

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

#mixture #multivariate #mixtures

Finally, I managed to write another blog post. In the post I am essentially talking about works (mostly) by Alessandro Rudi and coauthors on #tractable #probabilistic models such as #mixtures with #negative parameters.

Check out: https://trappmartin.github.io/website/post/2023_06_snf/

I will likely go into details of some of the aspects of this new family of models in follow up posts.

Let me know what you think about the blog post. Too high level or just right? Or any other feedback?