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Bayesian Analysis of Multidimensional Functional Data
[article]
2019
arXiv
pre-print
Multi-dimensional functional data arises in numerous modern scientific experimental and observational studies. In this paper we focus on longitudinal functional data, a structured form of multidimensional functional data. Operating within a longitudinal functional framework we aim to capture low dimensional interpretable features. We propose a computationally efficient nonparametric Bayesian method to simultaneously smooth observed data, estimate conditional functional means and functional
arXiv:1909.08763v1
fatcat:l73gdqeswrbhxamlryqolwu4rm