Statistical inference versus mean field limit for Hawkes processes
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Publication:286219
DOI10.1214/16-EJS1142zbMath1343.62050arXiv1507.02887MaRDI QIDQ286219
Sylvain Delattre, Nicolas Fournier
Publication date: 20 May 2016
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1507.02887
point processesstatistical inferencepropagation of chaosmultivariate Hawkes processesinteraction graphmean field limitstochastic interacting particle systems
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Related Items (7)
Limit theorems for Markovian Hawkes processes with a large initial intensity ⋮ Some asymptotic results for nonlinear Hawkes processes ⋮ Bayesian estimation of nonlinear Hawkes processes ⋮ Statistical inference for a partially observed interacting system of Hawkes processes ⋮ Functional central limit theorems for stationary Hawkes processes and application to infinite-server queues ⋮ Regenerative properties of the linear Hawkes process with unbounded memory ⋮ Renewal in Hawkes processes with self-excitation and inhibition
Cites Work
- Unnamed Item
- Hawkes processes on large networks
- Bayesian inference for Hawkes processes
- Adaptive estimation for Hawkes processes; application to genome analysis
- The asymptotic behaviour of maximum likelihood estimators for stationary point processes
- An alternative derivation of Birkhoff's formula for the contraction coefficient of a positive matrix.
- Stability results for a general class of interacting point processes dynamics, and applications
- Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis
- Large deviations for Markovian nonlinear Hawkes processes
- Lasso and probabilistic inequalities for multivariate point processes
- Some limit theorems for Hawkes processes and application to financial statistics
- Stability of nonlinear Hawkes processes
- Central Limit Theorem for Nonlinear Hawkes Processes
- First- and Second-Order Statistics Characterization of Hawkes Processes and Non-Parametric Estimation
- Rate of convergence to equilibrium of marked Hawkes processes
- Extensions of Jentzsch's Theorem
- Modelling Financial High Frequency Data Using Point Processes
- A cluster process representation of a self-exciting process
- An Introduction to the Theory of Point Processes
- Hawkes model for price and trades high-frequency dynamics
- Probability Inequalities for Sums of Bounded Random Variables
- Spectra of some self-exciting and mutually exciting point processes
- Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity
- Modelling microstructure noise with mutually exciting point processes
- On the Integral Equation of Renewal Theory
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