Skip to main content

Research Repository

Advanced Search

All Outputs (4)

Bayes Factors for Partially Observed Stochastic Epidemic Models (2018)
Journal Article
Alharthi, M., Kypraios, T., & O'Neill, P. D. (2019). Bayes Factors for Partially Observed Stochastic Epidemic Models. Bayesian Analysis, 14(3), 927-956. https://doi.org/10.1214/18-BA1134

We consider the problem of model choice for stochastic epidemic models given partial observation of a disease outbreak through time. Our main focus is on the use of Bayes factors. Although Bayes factors have appeared in the epidemic modelling literat... Read More about Bayes Factors for Partially Observed Stochastic Epidemic Models.

Optimal experimental design for predator–prey functional response experiments (2018)
Journal Article
Zhang, J. F., Papanikolaou, N. E., Kypraios, T., & Drovandi, C. C. (2018). Optimal experimental design for predator–prey functional response experiments. Interface, 15(144), https://doi.org/10.1098/rsif.2018.0186

Functional response models are important in understanding predator–prey interactions. The development of functional response methodology has progressed from mechanistic models to more statistically motivated models that can account for variance and t... Read More about Optimal experimental design for predator–prey functional response experiments.

A unified stochastic modeling framework for the spread of nosocomial infections (2018)
Journal Article
López-García, M., & Kypraios, T. (2018). A unified stochastic modeling framework for the spread of nosocomial infections. Interface, 15(143), https://doi.org/10.1098/rsif.2018.0060

Over the last years, a number of stochastic models have been proposed for analysing the spread of nosocomial infections in hospital settings. These models often account for a number of factors governing the spread dynamics: spontaneous patient coloni... Read More about A unified stochastic modeling framework for the spread of nosocomial infections.

Bayesian nonparametrics for stochastic epidemic models (2018)
Journal Article
Kypraios, T., & O'Neill, P. D. (2018). Bayesian nonparametrics for stochastic epidemic models. Statistical Science, 33(1), https://doi.org/10.1214/17-STS617

The vast majority of models for the spread of communicable diseases are parametric in nature and involve underlying assumptions about how the disease spreads through a population. In this article we consider the use of Bayesian nonparametric approach... Read More about Bayesian nonparametrics for stochastic epidemic models.