This paper studies the asymptotic and nite-sample performance ofpenalized regression methods when different selectors of theregularization parameter are used under the assumption that the truemodel is, or is not, included among the candidate model. In the lattersetting, we relax assumptions in...

It has been shown that Akaike information criterion (AIC)-type criteria are asymptotically efficient selectors of the tuning parameter in nonconcave penalized regression methods under the assumption that the population variance is known or that a consistent estimator is available. We relax this...

Although the histogram is the most widely used density estimator, it is well--known that the appearance of a constructed histogram for a given bin width can change markedly for different choices of anchor position. In this paper we construct a stability index $G$ that assesses the potential...

This article uses the Cox proportional hazards model to analyze recent Broadway show data to investigate the factors that relate to the longevity of shows. The type of show, whether a show is a revival, and first-week attendance for the show are predictive for longevity. Favorable critic reviews...

When it is reasonable to assume that a model exhibits smoothness, goodness-of-fit statistics can be constructed that have higher power to detect deviations from a specified parametric model than tests based only on the empirical distribution. Recently Azzalini, Bowman and Härdle (1989) proposed...

Probability estimation in sparse two-dimensional contingency tables with ordered categories is examined. Several smoothing procedures are compared to analysis of the unsmoothed table. It is shown that probability estimates obtained via maximum penalized likelihood smoothing are consistent under...