In environmental and climate data, there is often an interest in determi...
Functional data are ubiquitous in scientific modeling. For instance,
qua...
Detecting changepoints in functional data has become an important proble...
With the recent surge in big data analytics for hyper-dimensional data t...
Extreme events with potential deadly outcomes, such as those organized b...
We propose a new method for clustering of functional data using a k-mean...
We introduce HITMIX, a new technique for network seed-set expansion, i.e...
Functional data registration is a necessary processing step for many
app...
Functional variables are often used as predictors in regression problems...
Arctic sea ice plays an important role in the global climate. Sea ice mo...
We study regression using functional predictors in situations where thes...
In this paper, we develop a method for constructing tolerance bounds for...