5 papers
Component-weighted sparse group LASSO for finite mixture regression models
Vinay Joshy, Zeny Feng, Grace Stelter +2
When analyzing heterogeneous data with latent subpopulations, finite mixture regression (FMR) models are effective as they allow for variations in regression coefficients across mi…
Composite method for fast computation of individual level spatial epidemic models
Yirao Zhang, Rob Deardon, Lorna Deeth
Individual-level models, also known as ILMs, are commonly used in epidemics modelling, as they can flexibly incorporate individual-level covariates that influence susceptibility an…
DESA: An R Package for Detecting Epidemics using a School-Absenteeism Surveillance Framework
Vinay Joshy, Zeny Feng, Lorna Deeth +2
Absenteeism of elementary school children has been shown to be effective in the early detection of an incoming influenza epidemic within a given population. This paper introduces D…
Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
Alysha Cooper, Zeny Feng, Ayesha Ali +2
Identifying relevant factors that influence the multinomial counts in compositional data is difficult in high dimensional settings due to the complex associations and overdispersio…
A Framework for Incorporating Behavioural Change into Individual-Level Spatial Epidemic Models
Madeline A. Ward, Rob Deardon, Lorna E. Deeth
During epidemics, people will often modify their behaviour patterns over time in response to changes in their perceived risk of spreading or contracting the disease. This can subst…