Efficient Simulation of Sparse Graphs of Point Processes
From MaRDI portal
Publication:6108734
DOI10.1145/3565809zbMath1515.60145arXiv2001.01702OpenAlexW4309224332MaRDI QIDQ6108734
No author found.
Publication date: 26 July 2023
Published in: ACM Transactions on Modeling and Computer Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.01702
computational complexitypoint processesdiscrete event simulationHawkes point processeslocal independent graphs
Geometric probability and stochastic geometry (60D05) Graph theory (including graph drawing) in computer science (68R10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (1)
Cites Work
- Unnamed Item
- Simulation of nonhomogeneous poisson processes by thinning
- The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis
- The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method
- Adaptive estimation for Hawkes processes; application to genome analysis
- Adaptive density estimation: A curse of support?
- Exact simulation of Hawkes process with exponentially decaying intensity
- Point processes and queues. Martingale dynamics
- General systems theory: mathematical foundations
- Point processes for reliability analysis. Shocks and repairable systems
- Symmetric binary B-trees: Data structure and maintenance algorithms
- Stability of nonlinear Hawkes processes
- Mean-field inference of Hawkes point processes
- Microscopic approach of a time elapsed neural model
- Graphical Models for Marked Point Processes Based on Local Independence
- On Lewis' simulation method for point processes
- Mersenne twister
- Theory of Modeling and Simulation
- Spiking Neuron Models
- Network of interacting neurons with random synaptic weights
- Modelling microstructure noise with mutually exciting point processes
- An Introduction to the Theory of Point Processes
- Markoff Chains--Denumerable Case
- Statistical models based on counting processes
This page was built for publication: Efficient Simulation of Sparse Graphs of Point Processes
