We study model selection and model averaging in generalized additive partial linear models
(GAPLMs). Polynomial spline is used to approximate nonparametric functions. The …

In the United States the preferred method of obtaining dietary intake data is the 24-hour
dietary recall, yet the measure of most interest is usual or long-term average daily intake …

In many application areas, data are collected on a count or binary response with spatial
covariate information. In this article, we introduce a new class of generalized geoadditive …

Semiparametric additive partial linear models, containing both linear and nonlinear additive
components, are more flexible compared to linear models, and they are more efficient …

A new estimation procedure based on the composite quantile regression is proposed for the
semiparametric additive partial linear models, of which the nonparametric components are …

A spline-backfitted kernel smoothing method is proposed for partially linear additive model.
Under assumptions of stationarity and geometric mixing, the proposed function and …

In this article, we introduce a new class of nonparametric regression models, called
generalized spatially varying coefficient models (GSVCMs), for data distributed over …

Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered
data Page 1 Bernoulli 19(1), 2013, 252–274 DOI: 10.3150/11-BEJ386 Simultaneous variable …

It is widely admitted that structured nonparametric modeling that circumvents the curse of
dimensionality is important in nonparametric estimation. In this paper we show that the same …

This article examines and proposes several attribution models that quantify how revenue
should be attributed to online advertising inputs. We adopt and further develop relative …