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20072025
most citedOverfitting Bayesian Mixture Models with an Unknown Number of Components

63 citations · 531 across the 74 of their papers we have counts for

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Showing 2019 · stat.APShow all

5 papers · 2 filters

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.AP2019★ 21 cited

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation

Abhishek Varghese, Christopher Drovandi, Kerrie Mengersen +1

The Banana Bunchy Top Virus (BBTV) is one of the most economically important vector-borne banana diseases throughout the Asia-Pacific Basin and presents a significant challenge to…

stat.AP2019★ 1 cited

A feature-based framework for detecting technical outliers in water-quality data from in situ sensors

Priyanga Dilini Talagala, Rob J. Hyndman, Catherine Leigh +2

Outliers due to technical errors in water-quality data from in situ sensors can reduce data quality and have a direct impact on inference drawn from subsequent data analysis. Howev…