We use data from the Head Start Impact Study (HSIS) to evaluate the cost-effectiveness of
Head Start, the largest early childhood education program in the United States. Head Start …

Myoung-jae Lee reviews the three most popular methods (and their extensions) in applied
economics and other social sciences: matching, regression discontinuity, and difference in …

Convergence rates of parameter estimation for some weakly identifiable finite mixtures Page 1
The Annals of Statistics 2016, Vol. 44, No. 6, 2726–2755 DOI: 10.1214/16-AOS1444 © Institute …

Modern engineering systems are becoming increasingly complex. Assessing their risk by
simulation is intimately related to the efficient generation of rare failure events. Subset …

This paper studies identifiability and convergence behaviors for parameters of multiple
types, including matrix-variate ones, that arise in finite mixtures, and the effects of model …

In this paper, we show that the marginal distribution of plausible values is a consistent
estimator of the true latent variable distribution, and, furthermore, that convergence is …

We propose new nonparametric empirical Bayes methods for high-dimensional
classification. Our classifiers are designed to approximate the Bayes classifier in a …

We consider a single stock-point for a repairable item facing Markov modulated Poisson
demand. Repair of failed parts may be expedited at an additional cost to receive a shorter …

Testing a point (sharp) null hypothesis is arguably the most widely used statistical inferential
procedure in many fields of scientific research, nevertheless, the most controversial, and …

Pairwise Non-Local Priors for CEG Model Selection: Supplementary Material. The
supplementary document includes the normalisation constants of pm-NLPs using Hellinger …