We can visualise these measurements in a two-dimensional plot. Our hypothesis is that the amount of rainfall is dependent on the temperature and that we can model this relationship through a linear ...

Here we suggest a simple, powerful and flexible approach in which we approximate the right-hand sides of differential equations by combinations of functions from three families: Polynomial, ...

The main finding was that linear combination modeling with simulated basis functions in Osprey substantially improved the reproducibility of HERMES GSH quantification, compared to the simpler Gaussian ...

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 ...

We study the modeling of nonconvex piecewise-linear functions as mixed-integer programming (MIP) problems. We review several new and existing MIP formulations for continuous piecewise-linear functions ...

In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

Thus, ARIMA models with input series are sometimes referred to as transfer function models. In the preceding regression and intervention model examples, the transfer function is a single scale ...