Members of the Institute for Statistical Science will be speaking at a workshop on “High Dimensional and Bayesian Inference toward Quantifying Real-World Uncertainties” on 30 and 31 May 2019. This marks a new partnership between the University of Bristol and The Institute of Statistical Mathematics in Japan.
We need to use limited amount of information to infer the behaviours of a large number of random variables. Our data points may be generated from non-stationary sources due to spatial and temporal variations. However, with recent developments in high dimensional statistics, efficient Bayesian estimation and non-stationary data analysis, various theories and methodologies have been proposed to address these issues and promising results have been reported.