Large-scale models require substantial computational resources for analy...
Computational models help decision makers understand epidemic dynamics t...
We study distributed estimation and learning problems in a networked
env...
When designing interventions in public health, development, and educatio...
In this paper, we study the severity of cascading failures in supply cha...
Decision makers who receive many signals are subject to imperfect recall...
Whether, and under what conditions, groups exhibit “crowd wisdom” has be...
The spread of behavior over social networks depends on the contact struc...
We study the Bayesian model of opinion exchange of fully rational agents...
We address the computations that Bayesian agents undertake to realize th...
We consider several estimation and learning problems that networked agen...