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#mixtures — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #mixtures, aggregated by home.social.

  1. Workers upstairs painting, Norteňa (Czexican!) music filtering down through the floor. Oom pah, chun chun… #mixtures #crossPollination #immigrants

  2. Workers upstairs painting, Norteňa (Czexican!) music filtering down through the floor. Oom pah, chun chun… #mixtures #crossPollination #immigrants

  3. Workers upstairs painting, Norteňa (Czexican!) music filtering down through the floor. Oom pah, chun chun… #mixtures #crossPollination #immigrants

  4. Workers upstairs painting, Norteňa (Czexican!) music filtering down through the floor. Oom pah, chun chun… #mixtures #crossPollination #immigrants

  5. Workers upstairs painting, Norteňa (Czexican!) music filtering down through the floor. Oom pah, chun chun… #mixtures #crossPollination #immigrants

  6. 【💡High Cited 】
    #CropDiversityExperiment: towards a mechanistic understanding of the benefits of species diversity in annual crop systems

    Whether #Biodiversity benefits hold for #AnnualCropSystems & crop #Mixtures achieved transgressive overyielding❓

    #Intercropping

    doi.org/10.1093/jpe/rtad016

  7. 【💡High Cited 】
    #CropDiversityExperiment: towards a mechanistic understanding of the benefits of species diversity in annual crop systems

    Whether #Biodiversity benefits hold for #AnnualCropSystems & crop #Mixtures achieved transgressive overyielding❓

    #Intercropping

    doi.org/10.1093/jpe/rtad016

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

    jmlr.org/papers/v25/22-0717.ht

    #mixture #multivariate #mixtures

  9. 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: trappmartin.github.io/website/

    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?