The generalized partially linear additive model (GPLAM) is a flexible and interpretable
approach to building predictive models. It combines features in an additive manner, allowing …

Pair-copula constructions are flexible dependence models that use bivariate copulas as
building blocks. In this article, we extend them with generalized additive models to allow …

Although various distributed machine learning schemes have been proposed recently for
purely linear models and fully nonparametric models, little attention has been paid to …

This paper considers partial linear regression models when neither the response variable
nor the covariates can be directly observed, but are instead measured with both …

Efficient estimation in single index models through smoothing splines Page 1 Bernoulli 26(2),
2020, 1587–1618 https://doi.org/10.3150/19-BEJ1183 Efficient estimation in single index models …

The fact that the decomposition of a matrix in a minimal number of rank-1 terms is not
unique, leads to a basic indeterminacy in factor analysis. Factors and loadings are only …

Partial linear single-index model (PLSIM) is a flexible and applicable model when
investigating the underlying relationship between the response and the multivariate …

Partial linear models have been widely used as flexible method for modelling linear
components in conjunction with non‐parametric ones. Despite the presence of the non …

In this paper, we consider the local asymptotics of the nonparametric function in a partially
linear model, within the framework of the divide-and-conquer estimation. Unlike the fixed …

In recent decades, there has been a gradual penetration of plant factories achieving
semiautomated crop cultivation. However, efficient energy utilization, as well as quality …