Data depth is a concept in multivariate statistics that measures the centrality of point given data cloud Rd. If can be represented as minimum depths with respect to all one-dimensional projections data, then satisfies so-called projection property. Such form an important class includes many have been proposed literature. For satisfy property approximate algorithm easily constructed since takin...

Statistical depths have been well studied for multivariate and functional data over the past few decades, but remain under-explored point processes. A first attempt on notion of process depth was conducted recently where defined as a weighted product two terms: (1) probability number events in each (2) event times conditioned by using Mahalanobis depth. We out that such cannot be directly used ...