Expectile regression is a popular alternative method of analyzing heterogeneous data. In this paper, we consider fitting a linear expectile regression model for estimating conditional expectiles based ...

Keywords: nonlinear regression, asymptotic regression, stopping critical level, seeds imbibition Introduction Biological phenomena can have a mathematically characterized behavior as a function of ...

Econometric Model Specification reviews and extends the author's papers on consistent model specification testing and semi-nonparametric modeling and inference. This book consists of two parts. The ...

This paper proposes an improved deep model, YOLOv8-AW, based on the YOLOv8 algorithm for gesture detection. The paper enhances the feature pyramid network of the head by introducing the Asymptotic ...

VanderSchaaf, C. L. (2025) Predictive Ability of Volume-Basal Area Ratios (VBARs) in Minnesota, USA Forests to Estimate ...

What Are Autoregressive Models? Autoregressive models are statistical models used for time series analysis, where current values are predicted based on a linear combination of past values.

Official Code for "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction (CVPR 2024)" and "Social Reasoning-Aware Trajectory Prediction via Multimodal Language Model ...