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Modeling and forecasting high-dimensional functional time series

Tang, Chen


The demand to handle increasing volumes of data with complicated structures has given rise to research into modeling high-dimensional functional time series (HDFTS). Researchers face three problems in modelling HDFTS: the large number of sets of functional time series (FTS), the infinite dimensionality of functional data, and serial dependence among functions in each set of FTS. This thesis offers solutions to these problems by proposing three novel methods in modeling and forecasting HDFTS....[Show more]

CollectionsOpen Access Theses
Date published: 2021
Type: Thesis (PhD)
DOI: 10.25911/8HCZ-PR72


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