State-of-the-Art Regression: Theory, Practice, and Modern Applications

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Language

English

Genre

Textbook

Published

June 21, 2025

Synopsis

Authored by Vikram Singh Sankhala, "State-of-the-Art Regression" serves as a comprehensive guide, bridging the gap between classical statistical theory and modern data science practice in regression analysis. Designed for graduate students and quantitative practitioners, this book navigates from foundational principles like OLS, Generalized Linear Models, and Mixed-Effects Models to advanced methodologies including Nonparametric, Quantile, and Distributional Regression. It provides a rigorous yet accessible exploration of the mathematical underpinnings while immediately connecting concepts to real-world application.

About the Author

VSS

Vikram Singh Sankhala

Vikram Singh Sankhala brings a unique analytical perspective to complex data challenges. With expertise spanning multi-modal AI, agentic systems, and data-driven solutions, he is adept at decoding intricate patterns and principles. Sankhala's approach bridges foundational understanding with cutting-edge technology, making sophisticated concepts accessible and actionable. His background underscores a deep commitment to leveraging analytical power for practical insight and innovation.

State-of-the-Art Regression: Theory, Practice, and Modern Applications

Synopsis

About the Author

Vikram Singh Sankhala

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