1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.GT2025
Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners
David Easley, Yoav Kolumbus, Eva Tardos
We analyze the performance of heterogeneous learning agents in asset markets with stochastic payoffs. Our main focus is on comparing Bayesian learners and no-regret learners who co…
q-fin.ST2022★ 1 cited
Learning Financial Networks with High-frequency Trade Data
Kara Karpman, Sumanta Basu, David Easley
Financial networks are typically estimated by applying standard time series analyses to price-based economic variables collected at low-frequency (e.g., daily or monthly stock retu…
cs.GT2009
Constructive Decision Theory
Lawrence Blume, David Easley, Joseph Y. Halpern
In most contemporary approaches to decision making, a decision problem is described by a sets of states and set of outcomes, and a rich set of acts, which are functions from states…