Partially linear additive models generalize linear regression models by assuming that the
relationship between the response and a set of explanatory variables is linear on some of …

Uncovering the heterogeneity in the disease progression of Alzheimer's is a key factor to
disease understanding and treatment development, so that interventions can be tailored to …

Efficient estimation in semivarying coefficient models for longitudinal/clustered data Page 1
The Annals of Statistics 2016, Vol. 44, No. 5, 1988–2017 DOI: 10.1214/15-AOS1385 © …

A plug-in the number of interior knots (NIKs) selector is proposed for polynomial spline
estimation in nonparametric regression. The existence and properties of the optimal NIKs for …

In recent years, there has been an exponentially increased amount of point clouds collected
with irregular shapes in various areas. Motivated by the importance of solid modeling for …

The use of repeated or clustered data is gaining popularity in numerous research studies.
Although Wald type SCBs were available, the estimation of standard errors poses a …

Repeated/clustered data are becoming increasingly popular in many research studies.
While there is a considerable literature in the estimation of the nonparametric component …

Among semiparametric regression models, partially linear additive models provide a useful
tool to include additive nonparametric components as well as a parametric component …

Modern technology has facilitated the collection of large-scale data from electronic medical
records, health insurance databases and other platforms. Big data along with rapid growth in …

This paper proposes a nonparametric approach to identify and estimate the generalized
additive model with a flexible additive structure and with possibly discrete variables when …