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Fixed-Parameter Prototype Regression Models

In: High-Dimensional Regression Analysis and Artificial Intelligence

Author

Listed:
  • Asaf Hajiyev

    (Ministry of Science and Education, Azerbaijan Republic, Institute of Control Systems)

  • Jiuping Xu

    (Business School, Sichuan University)

Abstract

This chapter focuses on the effects of correlated errors in linear regression, establishing parameter convergence conditions to ensure the consistency and asymptotic normality of covariance estimators. These results are further extended to nonlinear regression models, where asymptotic properties and confidence interval construction are explored.

Suggested Citation

  • Asaf Hajiyev & Jiuping Xu, 2026. "Fixed-Parameter Prototype Regression Models," Springer Books, in: High-Dimensional Regression Analysis and Artificial Intelligence, chapter 0, pages 67-169, Springer.
    • Handle: RePEc:spr:sprchp:978-981-95-2514-0_3
    DOI: 10.1007/978-981-95-2514-0_3
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