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math.ST2022
On optimal prediction of missing functional data with memory
Pauliina Ilmonen, Nourhan Shafik, Tommi Sottinen +2
This paper considers the problem of reconstructing missing parts of functions based on their observed segments. It provides, for Gaussian processes and arbitrary bijective transfor…
math.ST2017
Tyler shape depth
Davy Paindaveine, Germain Van Bever
In many problems from multivariate analysis, the parameter of interest is a shape matrix, that is, a normalized version of the corresponding scatter or dispersion matrix. In this p…