Bayesian estimation of nonlinear Hawkes processes
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Publication:6120835
DOI10.3150/23-bej1631arXiv2103.17164OpenAlexW4391458268MaRDI QIDQ6120835
Déborah Sulem, Vincent Rivoirard, Judith Rousseau
Publication date: 26 March 2024
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.17164
Cites Work
- Unnamed Item
- Hawkes processes on large networks
- Statistical inference versus mean field limit for Hawkes processes
- Gaussian approximation of nonlinear Hawkes processes
- Bayesian inference for Hawkes processes
- Nearly assumptionless screening for the mutually-exciting multivariate Hawkes process
- Adaptive estimation for Hawkes processes; application to genome analysis
- Adaptive Bayesian estimation using a Gaussian random field with inverse gamma bandwidth
- Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparametric estimation of the density
- Rates of contraction of posterior distributions based on Gaussian process priors
- Convergence rates of posterior distributions for non iid observations
- Some non asymptotic tail estimates for Hawkes processes
- Maximum likelihood identification of neural point process systems
- A self-correcting point process
- The use of polynomial splines and their tensor products in multivariate function estimation. (With discussion)
- Stability results for a general class of interacting point processes dynamics, and applications
- Some asymptotic results for nonlinear Hawkes processes
- Convergence rates of posterior distributions.
- Efficient EM-variational inference for nonparametric Hawkes process
- Regenerative properties of the linear Hawkes process with unbounded memory
- Nonparametric Bayesian estimation for multivariate Hawkes processes
- Stability and mean-field limits of age dependent Hawkes processes
- Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis
- Functional central limit theorems for stationary Hawkes processes and application to infinite-server queues
- Lasso and probabilistic inequalities for multivariate point processes
- Reactive point processes: a new approach to predicting power failures in underground electrical systems
- Poisson approximation of point processes with stochastic intensity, and application to nonlinear Hawkes processes
- Some limit theorems for Hawkes processes and application to financial statistics
- Stability of nonlinear Hawkes processes
- Bayesian Optimal Adaptive Estimation Using a Sieve Prior
- Graphical Modeling for Multivariate Hawkes Processes with Nonparametric Link Functions
- Multivariate Hawkes processes: an application to financial data
- Rate of convergence to equilibrium of marked Hawkes processes
- A dynamic contagion process
- Limit Theorems for Marked Hawkes Processes with Application to a Risk Model
- Graphical Models for Marked Point Processes Based on Local Independence
- Estimation of Space–Time Branching Process Models in Seismology Using an EM–Type Algorithm
- Renewal in Hawkes processes with self-excitation and inhibition
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
- Spectra of some self-exciting and mutually exciting point processes
- Perfect simulation of Hawkes processes
- FADO: A Statistical Method to Detect Favored or Avoided Distances between Occurrences of Motifs using the Hawkes' Model
- The Malliavin-Stein method for Hawkes functionals
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