Object-oriented data analysis is a fascinating and developing field in m...
A novel non-parametric estimator of the correlation between grouped
meas...
Resting state brain functional connectivity quantifies the similarity be...
Recently, a special case of precision matrix estimation based on a
distr...
With the availability of more non-euclidean data objects, statisticians ...
We develop a quantitative framework for understanding the class of wicke...
Biosensor data has the potential ability to improve disease control and
...
Data consisting of time-indexed distributions of cross-sectional or intr...
Data consisting of samples of probability density functions are increasi...
The covariance structure of multivariate functional data can be highly
c...
Building on a recent framework for distributionally robust optimization ...
A common feature of methods for analyzing samples of probability density...
Assessing brain development for small infants is important for determini...