30 citations · 50 across the 6 of their papers we have counts for
6 papers
Exchangeable Gaussian Processes with application to epidemics
Lampros Bouranis, Petros Barmpounakis, Nikolaos Demiris +1
We develop a Bayesian non-parametric framework based on multi-task Gaussian processes, appropriate for temporal shrinkage. We focus on a particular class of dynamic hierarchical mo…
Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19
Lampros Bouranis, Nikolaos Demiris, Konstantinos Kalogeropoulos +1
We consider a flexible Bayesian evidence synthesis approach to model the age-specific transmission dynamics of COVID-19 based on daily mortality counts. The temporal evolution of t…
Statistical Network Analysis with Bergm
Alberto Caimo, Lampros Bouranis, Robert Krause +1
Recent advances in computational methods for intractable models have made network data increasingly amenable to statistical analysis. Exponential random graph models (ERGMs) emerge…
Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo
Lampros Bouranis, Nial Friel, Florian Maire
The reversible jump Markov chain Monte Carlo (RJMCMC) method offers an across-model simulation approach for Bayesian estimation and model comparison, by exploring the sampling spac…
Bayesian model selection for exponential random graph models via adjusted pseudolikelihoods
Lampros Bouranis, Nial Friel, Florian Maire
Models with intractable likelihood functions arise in areas including network analysis and spatial statistics, especially those involving Gibbs random fields. Posterior parameter e…
Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution
Lampros Bouranis, Nial Friel, Florian Maire
Exponential random graph models are an important tool in the statistical analysis of data. However, Bayesian parameter estimation for these models is extremely challenging, since e…