In this paper we construct unbiased matrix estimators and estimators minimizing the bias for discrete distributions families, whose probabilities as functions of the parameter form a Chebyshev system.

Consider an environment with a finite number of alternatives, and agents with private values and quasilinear utility functions. A domain of valuation functions for an agent is a monotonicity domain if every finite-valued monotone randomized allocation rule defined on it is implementable in...

This paper proposes a Combined Method (combining fluid model estimators and statistical learning) to forecast the wait time for low-acuity patients in an Emergency Department, and describes the implementation of the Combined Method at the San Mateo Medical Center (SMMC). In historical data from...

We consider a one-sided assignment market or exchange network with transferable utility and the dynamics of bargaining in such a market. Our dynamical model is local, involving iterative updates of ‘offers’ based on estimated best alternative matches, in the spirit of pairwise Nash...

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...