activity
20122023
collaborators

5 papers

stat.ML2023

Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy

Xing Liu, Andrew B. Duncan, Axel Gandy

Kernelized Stein discrepancy (KSD) is a score-based discrepancy widely used in goodness-of-fit tests. It can be applied even when the target distribution has an unknown normalising…

stat.ME2022

Age-stratified epidemic model using a latent marked Hawkes process

Stamatina Lamprinakou, Axel Gandy

We extend the unstructured homogeneously mixing epidemic model introduced by Lamprinakou et al. [arXiv:2208.07340] considering a finite population stratified by age bands. We model…

stat.ME2022

Can a latent Hawkes process be used for epidemiological modelling?

Stamatina Lamprinakou, Axel Gandy, Emma McCoy

Understanding the spread of COVID-19 has been the subject of numerous studies, highlighting the significance of reliable epidemic models. Here, we introduce a novel epidemic model…

stat.ME2014

A Lévy-driven rainfall model with applications to futures pricing

Ragnhild C. Noven, Almut E. D. Veraart, Axel Gandy

We propose a parsimonious stochastic model for characterising the distributional and temporal properties of rainfall. The model is based on an integrated Ornstein-Uhlenbeck process…

stat.ME2012

Optimality of Non-Restarting CUSUM charts

F. Din-Houn Lau, Axel Gandy

We show optimality, in a well-defined sense, using cumulative sum (CUSUM) charts for detecting changes in distributions. We consider a setting with multiple changes between two kno…