3 papers
stat.AP2021
A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant
Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye +4
Proper function of a wastewater treatment plant (WWTP) relies on maintaining a delicate balance between a multitude of competing microorganisms. Gaining a detailed understanding of…
stat.ME2021
Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields
Stephen Richard Johnson, Sarah Elizabeth Heaps, Kevin James Wilson +1
With extreme weather events becoming more common, the risk posed by surface water flooding is ever increasing. In this work we propose a model, and associated Bayesian inference sc…
q-bio.PE2020
Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference
Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye +2
Phylogenetics uses alignments of molecular sequence data to learn about evolutionary trees. Substitutions in sequences are modelled through a continuous-time Markov process, charac…