Kerrie Lee Mengersen

This paper introduces a supervised principal components analysis method for variable selection in high-dimensional datasets, showing it reduces false discovery rates and improves statistical inference.

This paper introduces a Bayesian Network-based metric, Koala Population Potential (KPP), to estimate koala populations in South-East Queensland and validate it with habitat quality assessments.

The paper identifies EEG-based clusters in adolescents that correlate with psychological distress, sleep quality, and cognitive function using clustering and Bayesian regression.

This paper develops a stochastic network-based model for BBTV spread in banana plantations and uses approximate Bayesian computation to estimate parameters, showing seasonality influenced by environmental factors.

This paper models the interaction between dengue virus and transmissible interfering particles to assess their potential as an antiviral agent, showing that 80% effectiveness requires a high dose to reduce infection severity.

The paper develops a Bayesian model to identify cell-type specific methylation variation in heterogeneous samples and finds it detects more differentially methylated loci in specific cell types.

The paper develops a Bayesian model selection algorithm to identify cell-specific DNA methylation patterns, accounting for cell lineage and sex effects, and shows that many CpG markers are differentially methylated across multiple cell types.