Using noisy or incomplete data to discover models of spatiotemporal dynamics.
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.101.010203
Abstract: Sparse regression has recently emerged as an attractive approach for discovering models of spatiotemporally complex dynamics directly from data. In many instances, such models are in the form of nonlinear partial differential equations (PDEs); hence… read more here.
Keywords: discover models; noisy incomplete; models spatiotemporal; using noisy ... See more keywords
Copula-based semiparametric models for spatiotemporal data.
Sign Up to like & getrecommendations! Published in 2019 at "Biometrics"
DOI: 10.1111/biom.13066
Abstract: The joint analysis of spatial and temporal processes poses computational challenges due to the data's high dimensionality. Furthermore, such data are commonly non-Gaussian. In this paper, we introduce a copula-based spatiotemporal model for analyzing spatiotemporal… read more here.
Keywords: copula based; method; spatiotemporal data; semiparametric models ... See more keywords