Spring 2023

Date Speaker Title Time Location
Jan 19, 2023 Petros Dellaportas Can independent Metropolis samplers beat Monte Carlo? 14:00-15:00 Bush House (NE) 1.03
Feb 2, 2023 Caterina May Best estimation of functional linear models and optimal design of experiments 15:00-16:00 Strand S4.29
Feb 16, 2023 Chris Holmes Bayesian predictive inference 14:00-15:00 Strand S0.13
Mar 2, 2023 Francesca Panero Sparse spatial random graphs 14:00-15:00 Bush House (NE) 1.02
Mar 9, 2023 Maria Brigida Ferraro Fuzzy clustering: from numerical to complex data 15:00-16:00 Bush House (SE) 2.12
Apr 27, 2023 Mark Steel Accounting for model uncertainty in latent space network models 14:00-15:00 Strand S2.29
May 3, 2023 Sarah Heaps Bayesian inference on the order of stationary vector autoregressions 14:00-15:00 Bush House (NE) 1.04
June 1, 2023 Simon Godsill Non-Gaussian Lévy-driven SDEs for irregular time series and spatial applications 14:00-15:00 Bush House (SE) 1.01