Chen, Yu; Patelli, Edoardo; Edwards, Benjamin; Beer, Michael
(Amsterdam [u.a.] : Elsevier, 2023)
A novel Bayesian Augmented-Learning framework, quantifying the uncertainty of spectral representations of stochastic processes in the presence of missing data, is developed. The approach combines additional information ...