Nature

Bayesian Nonparametric Mixture Models

Bayesian nonparametric mixture models represent a powerful statistical framework that extends traditional mixture modelling by allowing the number of mixture components to be inferred from the data ...
Nature

Finite Mixture Models and Hidden Markov Models

Finite mixture models and hidden Markov models (HMMs) occupy central roles in modern statistical inference and data analysis. Finite mixture models assume that data originate from a latent combination ...
JSTOR Daily

A hierarchical N-mixture model to estimate behavioral variation and a case study of Neotropical birds

Understanding how and why animals use the environments where they occur is both foundational to behavioral ecology and essential to identify critical habitats for species conservation. However, some ...
JSTOR Daily

A Bayesian sparse finite mixture model for clustering data from a heterogeneous population

In this paper, we introduce a Bayesian approach for clustering data using a sparse finite mixture model (SFMM). The SFMM is a finite mixture model with a large number of components k previously fixed ...
InfoQ

From "Simple" Fine-Tuning to Your Own Mixture of Expert Models Using Open-Source Models

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...