The minimum covariance determinant (MCD) estimator is ubiquitous in
mult...
Dynamic networks have been increasingly used to characterize brain
conne...
Two frameworks for multivariate functional depth based on multivariate d...
Difference-based methods have been attracting increasing attention in
no...
Dynamic heterogeneous networks describe the temporal evolution of
intera...
Low-rank approximation is a popular strategy to tackle the "big n proble...
In this work, a novel elastic time distance for sparse multivariate
func...
With the development of data-monitoring techniques in various fields of
...
Functional data analysis can be seriously impaired by abnormal observati...
The classification of multivariate functional data is an important task ...