Published: 2024-03-28
In recent years, the study of wavelets has gained substantial attention, revealing their profound relevance in various branches of pure and applied mathematics. Wavelet theory has proven to be a valuable tool across multiple scientific disciplines, engineering, and other fields. Notably,
Dr. Sarah Patel
21-30
This paper introduces a novel approach for parameter estimation within the context of diffusion models. While composite quantile regression (CQR) has been applied effectively in classical linear regression models and more recently in general non-parametric regression models, its
Li Wei
1-11
An Adaptable Method For Analyzing Ordinal Data: Extended Linear Regression
When analyzing ordinal data, particularly when the proportional odds assumption of the ordered logit model is not met, researchers often face challenges. The proportional odds assumption implies equal odds ratios across all outcome levels, which real-world data often does not satisfy. In such
Sarah Brown
12-20