1 citations · 1 across the 4 of their papers we have counts for
4 papers
The Influence Function of Graphical Lasso Estimators
Gaëtan Louvet, Jakob Raymaekers, Germain Van Bever +1
The precision matrix that encodes conditional linear dependency relations among a set of variables forms an important object of interest in multivariate analysis. Sparse estimation…
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…
Integrated shape-sensitive functional metrics
Sami Helander, Petra Laketa, Pauliina Ilmonen +3
This paper develops a new integrated ball (pseudo)metric which provides an intermediary between a chosen starting (pseudo)metric d and the L_p distance in general function spaces.…
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…