Abstract: We introduce a new distortion measure for point processes called functional-covering distortion. It is inspired by intensity theory and is related to both the covering of point processes and ...

[Ch21] A. V. S. Chauhan, S. Reddy, M. Singh, K. Singh, T. Bhowmik. Deviation-based Marked Temporal Point process for Marker Prediction. (2021). [Du16] N. Du, H. Dai ...

Spatial point processes constitute a fundamental statistical framework for modelling the spatial distribution of events across a continuum. This field bridges theoretical developments in probability ...

Abstract: Likelihood-based encoding models founded on point processes have received significant attention in the literature because of their ability to reveal the information encoded by spiking neural ...

The amount of information exchanged per unit of time between two dynamic processes is an important concept for the analysis of complex systems. Theoretical formulations and data-efficient estimators ...

Temporal point process, an important area in stochastic process, has been extensively studied in both theory and applications. The classical theory on point process focuses on time-based framework, ...

Superposition of n i.i.d. one dimensional point processes according to " On the Superposition of Renewal Processes" D. R. Cox and Walter L. Smith ...

This is a preview. Log in through your library . Abstract Consider a homogeneous Poisson point process of the Euclidean plane and its Voronoi tessellation. The present note discusses the properties of ...

Operations Research, Vol. 43, No. 1, Special Issue on Telecommunications Systems: Modeling, Analysis and Design (Jan. - Feb., 1995), pp. 117-129 (13 pages) Unlike the leaky-bucket scheme which ...