Non Gaussian State Estimation and the Maximum Correntropy Approach

This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that probability densities remain Gaussian. The book explains how MCC is integrated into the conventional Bayesian estimation framework and their implementation to real-life problems. Read More

This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that probability densities remain Gaussian. The book explains how MCC is integrated into the conventional Bayesian estimation framework and their implementation to real-life problems. Read Less

• All from $121.00
• New Books from $291.31
• eBook from $121.00

• • eBook Details

  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $121.00 (Expires May 16, 2026) 365 Day Rental: $143.00 (Expires Nov 17, 2026) Buy eBook Lifetime Access: $220.00 Title: Non Gaussian State Estimation and the Maximum Correntropy Approach by Rahul Radhakrishnan; Stepan Ozana Publisher: Taylor & Francis Print ISBN: 9781032581972, 1032581972 eText ISBN: 9781040435915 Edition: 2025 1st edition Format: EPUB eBook	$121.00 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ