no code implementations • 21 Oct 2022 • Xenia Miscouridou, Samir Bhatt, George Mohler, Seth Flaxman, Swapnil Mishra
Here we develop a new class of spatiotemporal Hawkes processes that can capture both triggering and clustering behavior and we provide an efficient method for performing inference.
1 code implementation • 12 Jul 2021 • Mikko S. Pakkanen, Xenia Miscouridou, Matthew J. Penn, Charles Whittaker, Tresnia Berah, Swapnil Mishra, Thomas A. Mellan, Samir Bhatt
We also show that the incidence integral equations that arise from both of these specific models agree with the renewal equation used ubiquitously in infectious disease modelling.
1 code implementation • 22 Feb 2021 • Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P Schnekenberg, Charles Whittaker, Michaela Vollmer, Seth Flaxman, Samir Bhatt, Thomas A Mellan
An important example of this problem is the nowcasting of COVID-19 mortality: given a stream of reported counts of daily deaths, can we correct for the delays in reporting to paint an accurate picture of the present, with uncertainty?
no code implementations • 14 Jul 2020 • Matthew Willetts, Xenia Miscouridou, Stephen Roberts, Chris Holmes
Successfully training Variational Autoencoders (VAEs) with a hierarchy of discrete latent variables remains an area of active research.
no code implementations • 26 May 2019 • Juho Lee, Xenia Miscouridou, François Caron
In particular, we show that one can get novel series representations for the generalized gamma process and the stable beta process.
1 code implementation • NeurIPS 2018 • Xenia Miscouridou, François Caron, Yee Whye Teh
We propose a novel class of network models for temporal dyadic interaction data.
1 code implementation • 5 Feb 2016 • Adrien Todeschini, Xenia Miscouridou, François Caron
We propose a novel statistical model for sparse networks with overlapping community structure.