Results 11 to 20 of about 3,276,976 (263)
Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects
Entropy, 2022 Traditionally, Hawkes processes are used to model time-continuous point processes with history dependence. Here, we propose an extended model where the self-effects are of both excitatory and inhibitory types and follow a Gaussian Process.
Noa Malem-Shinitski +2 more
doaj +1 more source
Point-shift foliation of a point process
Electronic Journal of Probability, 2018 A point-shift $F$ maps each point of a point process $Φ$ to some point of $Φ$. For all translation invariant point-shifts $F$, the $F$-foliation of $Φ$ is a partition of the support of $Φ$ which is the discrete analogue of the stable manifold of $F$ on $Φ$.
Baccelli, Francois +1 more
openaire +3 more sources
On the Superposition of Point Processes
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1968 Summary Given point processes N1, …, Nm their superposition is the point process N defined by N(t) = N1(t) + … + Nm(t), t ≥ 0. An equivalent description of the system (N1, …, Nm) is by the process (Xn, Tn) where the Tn are the points of N, and Xn = k if and only if Tn is a point of Nk.
Cinlar, E., Agnew, R. A.
openaire +2 more sources
Stream-Processing Points [PDF]
IEEE Visualization 2005 - (VIS'05), 2006 With the growing size of captured 3D models it has become increasingly important to provide basic efficient processing methods for large unorganized raw surface-sample point data sets. In this paper we introduce a novel stream-based (and out-of-core) point processing framework.
openaire +2 more sources
Spatial Pattern Simulation of Antenna Base Station Positions Using Point Process Techniques
Telecom, 2022 Spatial statistics is a powerful tool for analyzing data that are illustrated as points or positions in a regular or non-regular state space. Techniques that are proposed to investigate the spatial association between neighboring positions are based on ...
Stelios Zimeras
doaj +1 more source
CoRR, 2019 Event sequences can be modeled by temporal point processes (TPPs) to capture their asynchronous and probabilistic nature. We propose an intensity-free framework that directly models the point process distribution by utilizing normalizing flows. This approach is capable of capturing highly complex temporal distributions and does not rely on restrictive ...
Nazanin Mehrasa +7 more
openaire +2 more sources
Effect of Mixing on Microorganism Growth in Loop Bioreactors
International Journal of Chemical Engineering, 2012 The impact of mixing on the promotion of microorganism growth rate has been analyzed using a multiphase forced-circulation pipe-loop reactor model capable of identifying conditions under which it is possible to convert natural gas into Single-Cell ...
A. M. Al Taweel, Q. Shah, B. Aufderheide
doaj +1 more source
Génération de semis de points fractals : une méthode du comptage de boites inversée
Cybergeo, 2015 Fractal dimension is useful to characterize the structure of spatial objects such as urban structures or river networks. However, fractal analysis is underutilized for point processes.
Cyril Fleurant
doaj +1 more source
Frontiers in Computational Neuroscience, 2020 Biological realism of dendritic morphologies is important for simulating electrical stimulation of brain tissue. By adding point process modeling and conditional sampling to existing generation strategies, we provide a novel means of reproducing the ...
Zane Z. Chou +2 more
doaj +1 more source
Recognizing Patterns: Spatial Analysis of Observed Microbial Colonization on Root Surfaces
Frontiers in Environmental Science, 2018 Root surfaces are major sites of interactions between plants and associated microorganisms. Here, plants and microbes communicate via signaling molecules, compete for nutrients, and release substrates that may have beneficial or harmful effects on each ...
Hannes Schmidt +6 more
doaj +1 more source