4 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Statistical inference for sketching algorithms
R. P. Browne, J. L. Andrews
Sketching algorithms use random projections to generate a smaller sketched data set, often for the purposes of modelling. Complete and partial sketch regression estimates can be co…
stat.CO2023
Estimation of Gaussian Bi-Clusters with General Block-Diagonal Covariance Matrix and Applications
Anastasiia Livochka, Ryan Browne, Sanjeena Subedi
Bi-clustering is a technique that allows for the simultaneous clustering of observations and features in a dataset. This technique is often used in bioinformatics, text mining, and…
stat.ME2014★ 4 cited
Hypothesis Testing for Parsimonious Gaussian Mixture Models
Antonio Punzo, Ryan P. Browne, Paul D. McNicholas
Gaussian mixture models with eigen-decomposed covariance structures make up the most popular family of mixture models for clustering and classification, i.e., the Gaussian parsimon…