We propose a global smoothing method based on polynomial splines for the estimation of functional coefficient regression models for non-linear time series. Consistency and rate of convergence results ...

This paper is concerned with developing a non-parametric time-varying coefficient model with fixed effects to characterize non-stationarity and trending phenomenon in a non-linear panel data model. We ...

It proceeds to Panel data methods such as fixed and random effects estimators and their extensions for applying to dynamic linear and non-linear panel data models. The next major topic presents models ...

This is the equivalent of linear algebra—performing matrix multiplication. However, AI models are often used to find intricate patterns in data where the output is not always proportional to the ...

This paper outlines an approach to model and predict non-linear multiple factor stability/tablet dissolution data under accelerated and nominal storage conditions. There are many non-linear stability ...