Purpose Demand forecast methodologies have been studied extensively to improve
operations in e-commerce. However, every forecast inevitably contains errors, and this may …

Estimating treatment effects has numerous real-world applications in various fields, such as
epidemiology and political science. While much attention has been devoted to addressing …

Many biological processes display oscillatory behavior based on an approximately 24 hour
internal timing system specific to each individual. One process of particular interest is gene …

This paper develops a method to construct uniform confidence bands in deconvolution when
the error distribution is unknown. Simulation studies demonstrate the performance of the …

Estimating a curve nonparametrically from data measured with error is a difficult problem
that has been studied by many authors. Constructing a consistent estimator in this context …

We identify the average dose–response function (ADRF) for a continuously valued error-
contaminated treatment by a weighted conditional expectation. We then estimate the …

Measurement error in the continuous covariates of a model generally yields bias in the
estimators. It is a frequent problem in practice, and many correction procedures have been …

Group testing methods are used widely to assess the presence of a contaminant, based on
measurements of the concentration of a biomarker, for example to test the presence of a …

We review results on nonparametric measurement errors-in-variables models with
emphases on two methods: deconvolution and unbiased score methods. Specifically, we …

Consider the model Y= X+ ε with X= τ+ Z, where τ is an unknown constant (the boundary of
X), Z is a random variable defined on R+, ε is a symmetric error, and ε and Z are …