Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early 1940s, its influence c

Lnear prediction theory and the related algorithms have matured to the point where they now form an integral part of many real-world adaptive systems. When it i

Of Properties Relating to Levinson's Recursion.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, a