Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

Distributed lag non-linear models (DLNMs) are a modelling tool for describing potentially non-linear and delayed dependencies. Here, we illustrate an extension of the DLNM framework through the use of ...

We leverage recent advancements in machine learning to develop an integrated method to solve globally and estimate models featuring agent heterogeneity, nonlinear constraints, and aggregate ...

Literature on Nonlinear Mixed Models Davidian and Giltinan (1995) and Vonesh and Chinchilli (1997) provide good overviews as well as general theoretical developments and examples of nonlinear mixed ...

The Gauss-Markov theorem for linear models is extended to nonlinear models. This is accomplished by showing that the theorem holds for a Riemannian manifold which is locally isometric to a direct ...

Gallium Semiconductor, an innovative supplier of RF semiconductor solutions, today announced the release of its library of nonlinear models for its po ...