Thomas Augustin

Thomas Augustin is Professor at the Department of Statistics, Ludwig-Maximilians University (LMU) in Munich, and head of the group “Foundations of Statistics and their applications”. His research aims at a statistical methodology where data quality can be taken into account critically, resulting in generalized modelling of complex, non-idealized data in social sciences and biometrics. He has mainly published on imprecise probabilities in statistical inference and decision making, and on error measurement modelling.

Scott Ferson

Scott Ferson is director of the Institute for Risk and Uncertainty at the University of Liverpool in the UK. For many years he was senior scientist at Applied Biomathematics in New York and taught risk analysis at Stony Brook University. Dr. Ferson has over a hundred publications, mostly in risk analysis and uncertainty propagation, and is a fellow of the Society for Risk Analysis. His recent research, funded mostly by NIH and NASA, focuses on reliable statistical tools when empirical information is very sparse, and distribution-free methods for risk analysis.

Ryan Martin

Ryan Martin is associate professor at the Department of Statistics,
North Carolina State University. He obtained his PhD in statistics in 2009, at Purdue University. Since 2006, he is Associate Editor for Bayesian Analysis. His main research interests include inference with belief functions, asymptotics, Bayes and empirical Bayes, foundations of statistical inference