Foundations of Modern Statistics

Discover the essential insights of modern statistics with Foundations of Modern Statistics by Denis Belomestny. Published in 2023 by Springer International Publishing AG, this comprehensive hardback edition spans 605 pages, making it a valuable resource for statisticians and researchers alike.

This book delves into the diverse interests of Vladimir Spokoiny, covering crucial topics such as optimal rates and non-asymptotic bounds in nonparametrics, Bayesian approaches from a frequentist perspective, optimization techniques, signal processing, and statistical theories inspired by real-world applications.

Whether you are a seasoned professional or a student eager to expand your knowledge, Foundations of Modern Statistics provides a thorough exploration of contemporary statistical methodologies and their applications. Enhance your understanding of this dynamic field with this essential addition to your library.