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Categories: Mathematics
Type: BOOK - Published: 2021-11-12 - Publisher: Springer Nature

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Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space
Bayesian Inference of State Space Models
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Authors: Kostas Triantafyllopoulos
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Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space
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Language: en
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Authors: Kostas Triantafyllopoulos
Categories:
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Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space
Time Series Analysis for the State-Space Model with R/Stan
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This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing
Bayesian Filtering and Smoothing
Language: en
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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.