This workshop invites cutting edge research that tries to forecast rare negative events using quantitative methods of evaluating risk. We explicitly invite researchers from all fields, inside and outside of academia and using methods spanning from expert opinion to machine learning. The goal of...

The past ten years has seen an explosion of interest in large and heterogeneous datasets and the statistical and computational techniques needed to handle them. Most of the innovation in this area has come in statistics and computer science departments, but recently economists have also begun to...

In this two days’ workshop we want to bring together researchers working in two quite separate fields, computational economics and experimental economics, which yet have seen a steady increase of fruitful interaction in the recent years. Topics include the understanding of the emergent dynamic...

The fractional Brownian motion (fBm) is an extension of the classical Brownian motion that allows its disjoint increments to be correlated. Its earliest mention in literature was in 1940 (see Kolmogorov (1940)). It was given the name of "fractional Brownian motion" by Mandelbrot and van Ness...