activity
20152019
most citedOverfitting Bayesian Mixture Models with an Unknown Number of Components

63 citations · 67 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2019

Factors associated with injurious from falls in people with early stage Parkinson's disease

Sarini Abdullah, James McGree, Nicole White +2

Falls are common in people with Parkinson's disease (PD) and have detrimental effects which can lower the quality of life. While studies have been conducted to learn about falling…

stat.AP2019★ 1 cited

Profile regression for subgrouping patients with early stage Parkinson's disease

Sarini Abdullah, James McGree, Nicole White +2

Falls are detrimental to people with Parkinson's Disease (PD) because of the potentially severe consequences to the patients' quality of life. While many studies have attempted to…

stat.AP2019★ 1 cited

Assessing the predictive ability of the UPDRS for falls classification in early stage Parkinson's disease

Sarini Abdullah, Nicole White, James McGree +2

Identification of risk factors associated with falls in people with Parkinson's Disease (PD) is important due to their high risk of falling. In this study, various ways of utilizin…

stat.ME2016★ 2 cited

Overfitting hidden Markov models with an unknown number of states

Zoé van Havre, Judith Rousseau, Nicole White +1

This paper presents new theory and methodology for the Bayesian estimation of overfitted hidden Markov models, with finite state space. The goal is then to achieve posterior emptyi…

stat.AP2016

Clustering action potential spikes: Insights on the use of overfitted finite mixture models and Dirichlet process mixture models

Zoé van Havre, Nicole White, Judith Rousseau +1

The modelling of action potentials from extracellular recordings, or spike sorting, is a rich area of neuroscience research in which latent variable models are often used. Two such…

stat.ME2015★ 63 cited

Overfitting Bayesian Mixture Models with an Unknown Number of Components

Zoe van Havre, Nicole White, Judith Rousseau +1

This paper proposes solutions to three issues pertaining to the estimation of finite mixture models with an unknown number of components: the non-identifiability induced by overfit…