JSTOR Daily

A Second-Order Approximation to the Log-Likelihood Surface for Mixture Models, with Application to the EM Algorithm

This article considers a new approximation to the log-likelihood surface in mixture models. This approximation is based on both the mean and variance of the full-data log-likelihood over imputations ...
JSTOR Daily

Maximum Likelihood in a Generalized Linear Finite Mixture Model by Using the EM Algorithm

A generalized linear finite mixture model and an EM algorithm to fit the model to data are described. By this approach the finite mixture model is embedded within the general framework of generalized ...
Nature

Two subgroups of antipsychotic-naive, first-episode schizophrenia patients identified with a Gaussian mixture model on cognition and electrophysiology

Deficits in information processing and cognition are among the most robust findings in schizophrenia patients. Previous efforts to translate group-level deficits into clinically relevant and ...
Risk

A mix of Gaussian distributions can beat GenAI at its own game

The generation of synthetic market data is widely seen as one of the most promising applications of sophisticated artificial intelligence models, such as generative adversarial networks (GANs) and ...