Linear functions, graphs and equations Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant.

Linear structural vector autoregressive models (SVARMs) have well-documented merits for topology inference of directional graphs emerging in diverse applications, including gene-regulatory, brain, and ...

In recent years, there has been a growing interest in graph signal processing due to its capability to model and analyze irregular data generated by wireless sensor networks (WSNs). Nevertheless, it ...

To find these conditions, we compare the gradients and intercepts of the corresponding graphs of the linear equations: If the gradients differ, there is a unique solution. If the gradients are the ...

Mixed models are used for the analysis of data measured over time to study population-level change and individual differences in change characteristics. Linear and nonlinear functions may be used to ...

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

, Douglas M. Bates, Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects Model, Journal of Computational and Graphical Statistics, Vol. 4, No. 1 (Mar., 1995), pp. 12-35 ...