Related Books
Language: en
Pages: 503
Pages: 503
Type: BOOK - Published: 2021-11-12 - Publisher: Springer Nature
Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space
Language: en
Pages: 0
Pages: 0
Type: BOOK - Published: 2022-11-13 - Publisher: Springer
Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space
Language: en
Pages: 0
Pages: 0
Type: BOOK - Published: 2021 - Publisher:
Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space
Language: en
Pages: 350
Pages: 350
Type: BOOK - Published: 2021-08-30 - Publisher: Springer Nature
This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing
Language: en
Pages: 255
Pages: 255
Type: BOOK - Published: 2013-09-05 - Publisher: Cambridge University Press
A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.