Nature

Higher Criticism and Sparse Mixture Models in Statistical Analysis

Modern high-dimensional data analysis frequently encounters the challenge of discerning weak, infrequent signals from overwhelming noise. Higher criticism (HC) and sparse mixture models have emerged ...
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 ...
JSTOR Daily

Finite mixture modelling in mass spectrometry analysis

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 62, No. 4 (AUGUST 2013), pp. 573-592 (20 pages) Secondary ion mass spectrometry is a popular physical technique that ...
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 ...