Bayesian estimation of nonlinear Hawkes processes
Multivariate point processes (MPPs) are widely applied to model the occurrences of events, e.g., natural disasters, online message exchanges, financial transactions or neuronal spike trains. In the Hawkes process model, the probability of occurrences of future events depend on the past of the proces...
Main Authors: | Sulem, D, Rivoirard, V, Rousseau, J |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Bernoulli Society for Mathematical Statistics and Probability
2024
|
Similar Items
-
Bayesian estimation of nonlinear Hawkes process
by: Sulem, D, et al.
Published: (2024) -
Nonparametric Bayesian estimation for multivariate Hawkes processes
by: Donnet, S, et al.
Published: (2020) -
Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects
by: Noa Malem-Shinitski, et al.
Published: (2022-02-01) -
Posterior concentration rates for empirical Bayes procedures with applications to Dirichlet process mixtures
by: Donnet, S, et al.
Published: (2017) -
Highland hawk : highland hawk /
by: 376572 Greiman, Lois
Published: (2000)