Basis Functions A spline is constructed from basis functions. A basis function is an element of the basis for a function space. Each function in a given function space can be expressed as a linear ...

Results derived from GP models are usually very sensitive to the type of achievement function that is chosen. This paper aims to provide a methodological insight into several achievement functions.

These modeling examples illustrate important capabilities of the Gurobi Python API, including adding decision variables, building linear expressions, adding constraints, and adding an objective ...

These modeling examples illustrate important capabilities of the Gurobi Python API, including adding decision variables, building linear expressions, adding constraints, and adding an objective ...

In this paper we develop a generalized partial linear model for longitudinal data. In the model, we allow the link and baseline functions to be unknown. We explicitly express the estimators of ...

2 Amsterdam Public Health, Methodology, Amsterdam, Netherlands Objective: Traditional methods to deal with non-linearity in regression analysis often result in loss of information or compromised ...

Generalized linear models are widely used by data analysts. However, the choice of the link function is often made arbitrarily. Here we permit the data to estimate the link function by incorporating ...

A quasi-linear model predictive controller (qLMPC) based on linear parameter-varying (LPV) systems is proposed for a flexible aircraft. The dynamics of flexible aircraft vary substantially with the ...