Abstract In 2011, the “ADHD-200 Global Competition” was held with the aim of identifying
biomarkers of attention-deficit/hyperactivity disorder from resting-state functional magnetic …

With widening deployments of natural language processing (NLP) in daily life, inherited
social biases from NLP models have become more severe and problematic. Previous …

We introduce a novel function-on-function linear quantile regression model to characterize
the entire conditional distribution of a functional response for a given functional predictor …

Recently, nonlinear expectile regression becomes popular because it can not only explore
nonlinear relationships among variables, but also describe the complete distribution of a …

Algorithmic fairness has received increased attention in socially sensitive domains. While
rich literature on mean fairness has been established, research on quantile fairness remains …

We propose a regularized partially functional quantile regression model where the response
variable is scalar while the explanatory variables involve both infinite-dimensional predictor …

The scalar‐on‐function regression model has become a popular analysis tool to explore the
relationship between a scalar response and multiple functional predictors. Most of the …

In this paper, we study the quantile regression (QR) estimation for the partially functional
linear model with the responses being right-censored and the censoring indicators being …

The functional single-index model is a very flexible semiparametric model when modeling
the relationship between a scalar response and functional predictors. However, the …

We present two innovative functional partial quantile regression algorithms designed to
accurately and efficiently estimate the regression coefficient function within the function-on …