Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation
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Publication:1662815
DOI10.1016/j.csda.2018.01.015zbMath1469.62084OpenAlexW2790667592MaRDI QIDQ1662815
Heikki Haario, Janne M. J. Huttunen, Jari P. Kaipio
Publication date: 20 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2018.01.015
state estimationfilteringspatiotemporal chaosBayesian approximation error approachchaotic modelsnonstationary inverse problems
Computational methods for problems pertaining to statistics (62-08) Inference from stochastic processes and prediction (62M20)
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