Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Computing & IT > General theory of computing > Mathematical theory of computation

Buy Now

Particle Filters for Random Set Models (Hardcover, 2013 ed.) Loot Price: R4,254

Discovery Miles 42 540

Repayment Terms: R399 pm x 12*

Add to cart

Particle Filters for Random Set Models (Hardcover, 2013 ed.): Branko Ristic

Particle Filters for Random Set Models (Hardcover, 2013 ed.)

Branko Ristic

(sign in to rate)

Loot Price R4,254 Discovery Miles 42 540 | Repayment Terms: R399 pm x 12*

Expected to ship within 12 - 17 working days

Description
Details
Customer Reviews

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	April 2013
First published:	2013
Authors:	Branko Ristic
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	174
Edition:	2013 ed.
ISBN-13:	978-1-4614-6315-3
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Promotions
LSN:	1-4614-6315-7
Barcode:	9781461463153