Time Series and Data Assimilation

Marcel van Oijen ()

Chapter Chapter 21 in Bayesian Compendium, 2020, pp 151-160 from Springer

Abstract: Abstract Time series modelling can be defined as modelling the progression over time of the state of a dynamical system. We focus here on simple statistical models rather than complex process-based models (PBMs), but will come back to those at the end of this chapter (and for more about PBMs see e.g. Chaps. 9 , 12 and 13 ).

Date: 2020
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DOI: 10.1007/978-3-030-55897-0_21

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