Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

This paper provides a systematic analysis of identification in linear social interactions models. This is a theoretical and econometric exercise as the analysis is linked to a rigorously delineated ...

In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of pre-trained ...

Curious if it is possible to add some mathematical psychology models. Some examples being any evidence accumulation models (i.e., drift diffusion, linear ballistic accumulator, etc.), or ...

We review the limitations of verbal theorizing, then a common taxonomy in mathematical psychology follows, that classifies formal models as descriptive, process characterization, and explanatory. As ...

It's often risky to introduce new products to the market. In fact, statistics show that between 40 to 90 percent of new products fail. A key component of product adoption is consumer psychology ...

Data-driven linear power flow (D-LPF) models are prevalent due to their excellent accuracy. Typically, D-LPF models rely on sufficient training data. However, in practice, the training data may be ...

Schools often adhere to a linear vision of child development, which can result in a deficit-thinking about students with disabilities.

Common statistical tests are linear models: Python port A Python port of Jonas Kristoffer Lindeløv's post Common statistical tests are linear models (or: how to teach stats), which originally had ...