Test for Varying-Coefficient Models with High-Dimensional Data

Key Points

• High-dimensional data requires specialized statistical methods for accurate coefficient estimation, and this study introduces effective testing strategies.
• The study shows that new testing techniques improve the identification of varying-coefficient models by addressing high-dimensional complexities.
• Observational analysis of model performance over various dimensions demonstrates the effectiveness of the proposed methods, particularly in complex data situations.
• These findings may enhance the analysis of multi-dimensional datasets across different fields, but further validation is needed.?