Propagation of chaos and Poisson hypothesis for replica mean-field models of intensity-based neural networks
From MaRDI portal
Publication:6590453
DOI10.1214/23-AAP2015MaRDI QIDQ6590453
Publication date: 21 August 2024
Published in: The Annals of Applied Probability (Search for Journal in Brave)
Interacting random processes; statistical mechanics type models; percolation theory (60K35) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Infinite systems of interacting chains with memory of variable length -- a stochastic model for biological neural nets
- On a toy model of interacting neurons
- On the dynamics of random neuronal networks
- Asymptotic methods in statistical decision theory
- Vlasov equations
- Poisson approximation for dependent trials
- Stopping times and tightness
- Queueing system with selection of the shortest of two queues: An asymptotic approach
- Conditional propagation of chaos for mean field systems of interacting neurons
- Multivariate Hawkes processes on inhomogeneous random graphs
- Propagation of chaos and Poisson hypothesis
- Stability of nonlinear Hawkes processes
- On mass transportation
- Random Measures, Theory and Applications
- Point Process Calculus in Time and Space
- The Monge-Kantorovich problem: achievements, connections, and perspectives
- Replica-mean-field limits of fragmentation-interaction-aggregation processes
- Replica-Mean-Field Limits for Intensity-Based Neural Networks
- A CLASS OF MARKOV PROCESSES ASSOCIATED WITH NONLINEAR PARABOLIC EQUATIONS
This page was built for publication: Propagation of chaos and Poisson hypothesis for replica mean-field models of intensity-based neural networks
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6590453)