Two existing density estimators based on local likelihood have properties that are comparable to those of local likelihood regression but they are much less used than their counterparts in regression. We consider ...

We introduce a simple and interpretable model for functional data analysis for situations where the observations at each location are functional rather than scalar. This new approach is based on a tensor product representation ...

Satellite imagery has been used for decades to study changes on Earth’s surface and understand the mechanisms that have shaped it as we know it today. Moreover, substantial improvements in computing power and the increase ...

We deal with the problem of representing a bivariate density function by level sets. The choice of which levels are used in this representation are commonly arbitrary (most usual choices being those with probability ...