OpenCourser
Learn skills that shape your future
Visit OpenCourser.com
This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.
Save
Protected by Amazon A-to-z Guarantee & generous return policies
Every book purchase is protected by the Amazon A-to-z Guarantee. This guarantee covers both the condition of your book and its timely delivery, providing full buyer protection whether you purchase directly from Amazon or from third-party marketplace sellers.
Generous 30-day return policy on physical books. Amazon makes returns effortless with self-service return labels, drop-off at thousands of local locations (Kohl's, Whole Foods, UPS Stores), and free return shipping on eligible book purchases.
Maximize your savings with competitive pricing, deep discounts on new and used marketplace copies, bundled textbook rentals, and exclusive member savings through Amazon Prime with free fast delivery.
Read your way across versatile digital and physical formats: instant delivery via Kindle eBooks, unlimited reading with a Kindle Unlimited subscription, audiobook listening with Audible (often featuring a 30-day free trial), or traditional paperback and hardcover editions.
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
