EE Seminars

Maximising expected outcomes – framed as expected utility in behavioural science and expected reward in reinforcement learning – has long dominated models of decision-making. In this seminar, Ollie Hulme (DRCMR)

Behavioural experiments by Ollie Hulme’s group in Copenhagen show that people change their implied risk preferences when choosing between repeated multiplicative versus additive gambles. The shifts are consistent with a

Statistics educators have long struggled with the fact that no traditional definition of probability is adequate for all purposes. Sometimes probability more naturally means frequency while at other times it

In this seminar, Özgür Şimşek (University of Bath) gives an introduction to fast-and-frugal classifiers. These are precise, formal models of classification designed to make fast, accurate, and transparent decisions in

In this seminar, Duncan James (Fordham University) presents key findings of the book Risky Curves: On the empirical failure of expected utility, co-authored with Daniel Friedman, Mark Isaac, and Shyam

In this seminar, Alexandru Hening (Texas A&M University) and Sergiu Ungureanu (St George’s, University of London) present their work on harvesting problems. Framing harvesting as an ergodic control problem, Alexandru

In this talk, James Holehouse (Santa Fe Institute) presents a solution for the first-passage time distribution on a generalized one-dimensional finite interval using the “backward” master equations approach and generating

In this talk, Arne Vanhoyweghen (Vrije Universiteit Brussel) presents his research on the role of ergodicity breaking in economic problems, focusing on practical applications in discrete processes and real-world dynamics.

In this talk, Paula Reichert (Ludwig-Maximilians-Universität München) discusses the ergodic hypothesis in the context of Boltzmann’s late work in statistical mechanics, in which Boltzmann lays the foundations for what is

In this talk, Jean-Philippe Bouchaud (Ecole normale supérieure, Capital Fund Management) introduces multiplicative growth in a simple model of an economy with exchanges and discusses the impact of re-distribution and

Colm Connaughton (London Mathematical Laboratory) introduces the power compounding random walk in which the drift term produces power law growth in time. This process interpolates smoothly between the additive and

In this talk, James Price (University of Warwick) presents his research on decisions over processes that stop in finite-time and processes where the outcome of a decision depends on the