This paper develops a theory of estimating parameters of a generated regressor model in which some explanatory variables in the equation of interest are the unknown conditional means of certain ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We introduce two novel ...

This article develops five regression models to estimate pipeline construction component costs for different types of pipelines in different regions. Researchers have long used historical pipeline ...

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.

A long-running Mayo Clinic project has led to a new model that estimates who is most likely to develop Alzheimer’s.

Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...

Mayo Clinic scientists have developed a new method to predict Alzheimer's risk decades before symptoms appear, using brain scans and genetics to estimate a 10-year likelihood.