4 papers
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
Stamatina Lamprinakou, Huiyan Sang, Bledar A. Konomi +1
Bayesian Additive Regression Trees [BART, Chipman et al., 2010] have gained significant popularity due to their remarkable predictive performance and ability to quantify uncertaint…
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…
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…
BART-based inference for Poisson processes
Stamatina Lamprinakou, Mauricio Barahona, Seth Flaxman +3
The effectiveness of Bayesian Additive Regression Trees (BART) has been demonstrated in a variety of contexts including non-parametric regression and classification. A BART scheme…