Bayesian Filtering and Smoothing

Bayesian Filtering and Smoothing
Author: Simo Särkkä
Publisher: Cambridge University Press
Total Pages: 255
Release: 2013-09-05
Genre: Computers
ISBN: 110703065X

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A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.


Bayesian Filtering and Smoothing
Language: en
Pages: 255
Authors: Simo Särkkä
Categories: Computers
Type: BOOK - Published: 2013-09-05 - Publisher: Cambridge University Press

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A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.
Bayesian Filtering and Smoothing
Language: en
Pages: 437
Authors: Simo Särkkä
Categories: Mathematics
Type: BOOK - Published: 2023-05-31 - Publisher: Cambridge University Press

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A Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.
Bayesian Filtering and Smoothing
Language: en
Pages: 438
Authors: Simo Särkkä
Categories: Mathematics
Type: BOOK - Published: 2023-05-31 - Publisher: Cambridge University Press

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Now in its second edition, this accessible text presents a unified Bayesian treatment of state-of-the-art filtering, smoothing, and parameter estimation algorit
Introduction to Bayesian Tracking and Particle Filters
Language: en
Pages: 124
Authors: Lawrence D. Stone
Categories: Computers
Type: BOOK - Published: 2023-05-31 - Publisher: Springer Nature

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This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and stati
Applied Stochastic Differential Equations
Language: en
Pages: 327
Authors: Simo Särkkä
Categories: Business & Economics
Type: BOOK - Published: 2019-05-02 - Publisher: Cambridge University Press

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With this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.