Scalable Bayesian Inference for Excitatory Point Process Networks

12 July 2015

Papers citing "Scalable Bayesian Inference for Excitatory Point Process Networks"

8 / 8 papers shown

Title
Nonparametric estimation of Hawkes processes with RKHSs Anna Bonnet Maxime Sangnier 37 0 0 01 Nov 2024
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes Xenia Miscouridou Samir Bhatt G. Mohler Seth Flaxman Swapnil Mishra 19 4 0 21 Oct 2022
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels Guillaume Staerman Cédric Allain Alexandre Gramfort Thomas Moreau 21 5 0 10 Oct 2022
Machine Learning Featurizations for AI Hacking of Political Systems Nathan Sanders B. Schneier 20 2 0 08 Oct 2021
Efficient Non-parametric Bayesian Hawkes Processes Rui Zhang Christian J. Walder Marian-Andrei Rizoiu Lexing Xie 11 37 0 08 Oct 2018
A Review of Network Inference Techniques for Neural Activation Time Series G. Panagopoulos 17 0 0 20 Jun 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
Tracking Dynamic Point Processes on Networks Eric C. Hall Rebecca Willett 37 61 0 29 Aug 2014