Results 71 to 80 of about 30,785,448 (215)
A new metric between distributions of point processes
Most metrics between finite point measures currently used in the literature have the flaw that they do not treat differing total masses in an adequate manner for applications.
Schuhmacher, Dominic, Xia, Aihua
core +2 more sources
State-Dependent Fractional Point Processes [PDF]
In this paper we analyse the fractional Poisson process where the state probabilities pkνk(t), t ≥ 0, are governed by time-fractional equations of order 0 < νk ≤ 1 depending on the number k of events that have occurred up to time t. We are able to obtain explicitly the Laplace transform of pkνk(t) and various representations of state probabilities ...
GARRA, ROBERTO +2 more
openaire +6 more sources
Modeling Heterogeneous Network Interference Using Poisson Point Processes
Cellular systems are becoming more heterogeneous with the introduction of low power nodes including femtocells, relays, and distributed antennas. Unfortunately, the resulting interference environment is also becoming more complicated, making evaluation ...
Bai, Tianyang +2 more
core +3 more sources
Hypothesis Tests for Comparing Point Processes
This paper presents a comprehensive study of statistical tests for comparing temporal point processes in general, with a particular focus on Poisson processes.
Yue Mu, Wei Wu
doaj +1 more source
Model-Free Change Point Detection for Mixing Processes
This paper considers the change point detection problem under dependent samples. In particular, we provide performance guarantees for the MMD-CUSUM test under exponentially $\alpha$, $\beta$, and fast $\phi$-mixing processes, which significantly expands ...
Hao Chen +3 more
doaj +1 more source
On a few statistical applications of determinantal point processes
Determinantal point processes (DPPs) are a repulsive distribution over configurations of points. The 2016 conference Journées Modélisation Aléatoire et Statistique (MAS) of the French society for applied and industrial mathematics (SMAI) featured a ...
Bardenet Rémi +3 more
doaj +1 more source
Efficient Bayesian Nonparametric Modelling of Structured Point Processes [PDF]
This paper presents a Bayesian generative model for dependent Cox point processes, alongside an efficient inference scheme which scales as if the point processes were modelled independently.
Gunter, Tom +3 more
core
Consistency of likelihood estimation for Gibbs point processes [PDF]
Strong consistency of the maximum likelihood estimator (MLE) for parametric Gibbs point process models is established. The setting is very general.
Dereudre, David, Lavancier, Frédéric
core +4 more sources
Topological error correcting processes from fixed-point path integrals [PDF]
We propose a unifying paradigm for analyzing and constructing topological quantum error correcting codes as dynamical circuits of geometrically local channels and measurements.
Andreas Bauer
doaj +1 more source
Adaptive set-point control system for microbial cultivation processes
A control system for set-point control of microbial cultivation process parameters is developed, in which a tendency model is applied for controller adaptation to process nonlinearity and time-varying operating conditions.
Donatas Levišauskas +2 more
doaj +1 more source

