We study the convergence of Bayesian learning in a tandem social network. Each agent receives a noisy signal about the underlying state of the world, and observes her predecessor's action before choosing her own. We characterize the conditions under which, as the network grows larger, agents'...

Many complex decision making problems like scheduling in manufacturing systems, portfolio management in finance, admission control in communication networks etc., with clear and precise objectives, can be formulated as stochastic dynamic programming problems in which the objective of decision...

Two very different contractual structures are commonly observed inservice industries with congestion effects: service level guarantees(SLGs) and best effort (BE) service. We analyze the impact of thesecontractual agreements on market outcomes in oligopolistic industries.First, we consider a...