Understanding the significance of financial clustering in the context of green development
holds immense importance for China as it strives towards achieving high-quality green …

Change point detection for high‐dimensional data is an important yet challenging problem
for many applications. In this article, we consider multiple change point detection in the …

The objective of this paper is to examine, for a panel of seven countries from the European
Union, spanning the period 1986–2015, whether the use of renewable energy impacts their …

Kink regression model which assumes continuity at the threshold point has wide
applications in statistics and economics. Existing estimation methods are obtained under a …

This paper develops a threshold regression model where an unknown relationship between
two variables nonparametrically determines the threshold. We allow the observations to be …

In many applications of hierarchical models, there is often interest in evaluating the inherent
heterogeneity in view of observed data. When the underlying hypothesis involves …

The authors derive a risk lower bound in estimating the threshold parameter without
knowing whether the threshold regression model is continuous or not. The bound goes to …

High-throughput biological experiments are essential tools for identifying biologically
interesting candidates in large-scale omics studies. The results of a high-throughput …

Kink model is developed to analyze the data where the regression function is two-stage
piecewise linear with respect to the threshold covariate but continuous at an unknown kink …

This article considers a bent-cable quantile regression model that comprises two linear
segments but is smoothly jointed by a quadratic bend. This model is very flexible to allow the …