The general maximum likelihood empirical Bayes (GMLEB) method has been proven to possess optimal properties and demonstrated to have superior numerical performance in the Gaussian sequence model. Although it is known that nonparametric function estimation and the Gaussian sequence models are...

This paper introduces a new class of multivariate volatility models which is easy to estimate using covariance targeting, even with rich dynamics. We call them rotated ARCH (RARCH) models. The basic structure is to rotate the returns and then to ?t them using a BEKK-type parameterization of the...

The need to justify one's decisions is a signal characteristic of decision making in a managerial environment. Even chief executives must communicate reasons for their actions. Yet, despite a significant amount of laboratory research on the effects of accountability on decision making, few...

Researchers often test consumers' abilities to discriminate between two product formulations. Such tests are used in new product development, quality control, and competitive assessment. This paper investigates three paired comparison taste tests, each requiring a different judgment. These are:...

Patterns of customer purchases are often modeled as discrete behavioral events following some probability law. These stochastic models have been applied separately to the phenomena of product class purchase incidence and brand choice (conditional on the products being purchased). Most of these...

New inferential procedures for the geometric distribution, based on δ-records, are developed. Maximum likelihood and Bayesian approaches for parameter estimation and prediction of future records are considered. The performance of the estimators is compared with those based solely on...

This report presents participation rate estimates that measure the effectiveness of SNAP from 2005 to 2007 and estimates participation rates for the “working poorâ€â€”those eligible for SNAP who live in households in which someone earned income from a job. It also provides details...

Many multiple testing procedures make use of the p-values from the individual pairs of hypothesis tests, and are valid if the p-value statistics are independent and uniformly distributed under the null hypotheses. However, it has recently been shown that these types of multiple testing...

Statistical modeling and inference problems with sample sizes substantially smaller than the number of available covariates are challenging. This is known as large p small n problem. Furthermore, the problem is more complicated when we have multiple correlated responses. We develop multivariate...