Monte Carlo sampling methods form a cornerstone of contemporary statistical inference by enabling the approximation of complex integrals and posterior distributions that defy analytical solution. At ...

Statistical inference for high-dimensional random processes addresses the problem of making reliable conclusions when the number of variables or dimensions grows as fast as, or faster than, the sample ...

This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely ...