1 citations · 1 across the 3 of their papers we have counts for
3 papers
Graph-based mutually exciting point processes for modelling event times in docked bike-sharing systems
Francesco Sanna Passino, Yining Che, Carlos Cardoso Correia Perello
This paper introduces graph-based mutually exciting processes (GB-MEP) to model event times in network point processes, focusing on an application to docked bike-sharing systems. G…
Adaptively Optimised Adaptive Importance Samplers
Carlos A. C. C. Perello, Ömer Deniz Akyildiz
We introduce a new class of adaptive importance samplers leveraging adaptive optimisation tools, which we term AdaOAIS. We build on Optimised Adaptive Importance Samplers (OAIS), a…
Regularised B-splines projected Gaussian Process priors to estimate time-trends of age-specific COVID-19 deaths related to vaccine roll-out
Mélodie Monod, Alexandra Blenkinsop, Andrea Brizzi +7
The COVID-19 pandemic has caused severe public health consequences in the United States. In this study, we use a hierarchical Bayesian model to estimate the age-specific COVID-19 a…