Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets.

This study examines linear quantile regression models with GARCH-X errors. These models include the most popular generalized autoregressive conditional heteroscedasticity (GARCH) as a special case, ...

In this paper, we construct an adaptive-to-model residual-marked empirical process as the base of constructing a goodness-of-fit test for parametric single-index models with diverging number of ...