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Bayesian Outlier Detection in Non‐Gaussian Autoregressive Time Series
Work
Year: 2018
Type: article
Abstract: This work investigates outlier detection and modelling in non‐Gaussian autoregressive time series models with margins in the class of a convolution closed parametric family. This framework allows for ... more
Cites: 36
Cited by: 6
Related to: 10
FWCI: 0.542
Citation percentile (by year/subfield): 64.1
Open Access status: green
Grant ID UID/MAT/04106/2019