2 papers
stat.ME2024
Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs
Adam Gorm Hoffmann, Claus Thorn Ekstrøm, Andreas Kryger Jensen
Gaussian process regression is a frequently used statistical method for flexible yet fully probabilistic non-linear regression modeling. A common obstacle is its computational comp…
eess.SP2023
Joint Alignment of Multivariate Quasi-Periodic Functional Data Using Deep Learning
Vi Thanh Pham, Jonas Bille Nielsen, Klaus Fuglsang Kofoed +2
The joint alignment of multivariate functional data plays an important role in various fields such as signal processing, neuroscience and medicine, including the statistical analys…