Abstract: Probability-maintained multi-notch sequence, as a universal stimulus, enables fast and accurate nonlinear distortion measurement. Experiments demonstrate 0.5 dB measurement accuracy in ...

Nonlinear relationships are common in applied research, especially in education, health, and economics. While Python provides statsmodels for mixed-effects models and patsy for spline construction, ...

MMER is a Python package for multivariate mixed-effects regression featuring a modular fixed-effects component. It supports parametric and non-parametric machine learning regressors (neural networks, ...

Abstract: Although neural network-based approaches succeed in time-series classification and regression tasks, they usually ignore the trend information in the data. The primary reason is that the ...