A Bayesian approach for data-driven dynamic equation discovery
type: Item
instance of: scholarly article
title: A Bayesian approach for data-driven dynamic equation discovery
author: Joshua S. North
author: Christopher K. Wikle
author: Erin M. Schliep
publication date: 2022-12-12T00:00:00Z
Mathematics Subject Classification ID: 62P12
zbMATH DE Number: 7632121
zbMATH Keywords: dynamic discovery uncertainty quantification
zbMATH Keywords: nonlinear dynamic equation
zbMATH Keywords: ordinary differential equation
zbMATH Keywords: probabilistic system discovery
zbMATH Keywords: statistical differential equations
describes a project that uses: ForwardDiff
describes a project that uses: Julia
describes a project that uses: PDE-Net
describes a project that uses: PySINDy
describes a project that uses: astsa
MaRDI profile type: Publication
full work available at URL: s13253-022-00514-1
OpenAlex ID: W4292813980
Wikidata QID: Q113899318
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DOI: 10.1007/S13253-022-00514-1
published in: Journal of Agricultural, Biological and Environmental Statistics
description: scientific article; zbMATH DE number 7632121