Model Uncertainty and Bayesian Model Averaging, by Mark Steel - Professor of Statistics at the University of Warwick, where he was Head of the Department of Statistics from 2014 until 2018. Mark is interested in theoretical and applied Bayesian Statistics and Econometrics. He works on a variety of topics, for example, currently his main focus is on Bayesian model averaging, causal modelling, and inference in models with latent variables. So far, he has published over 100 papers in international journals and leading machine learning proceedings, which have collected over 14,600 Google Scholar citations.
Mark recently served as the Editor-in-Chief of the journal Bayesian Analysis and has previously been part of editorial boards of other leading journals in Statistics and Econometrics, such as the Journal of the Royal Statistical Society, Series B, the Journal of Business and Economic Statistics and the Journal of Econometrics. He has performed a variety of roles in the International Society for Bayesian Analysis (ISBA) and in the Royal Statistical Society., 17 Jun
LxDS Spring School 2026, by The Spring School is organised around three mini-courses:
Isospectral reduction and network dynamics (Maria Joana Torres, Universidade do Minho);
Theta-simplicity of the Lyapunov spectrum of locally constant cocycles over almost uniformly hyperbolic flows (Carlos Matheus, Institut Polytechnique de Paris);
On the stability of planetary systems (Jacques Fejoz, Université Paris Dauphine-PSL)., 27-29 May