Feng (zhoufeng6288)

zhoufeng6288

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Company:Renmin University of China

Location:Beijing, China

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Feng's repositories

SNMHawkesBeta

The repository implements the sigmoid nonlinear multivariate Hawkes processes in the paper "Efficient Inference of Flexible Interaction in Spiking-neuron Networks".

Language:Jupyter NotebookLicense:MITStargazers:7Issues:2Issues:0

DFN-Hawkes

The repository implements three inference methods (Gibbs sampler, EM algorithm and mean-field approximation) for the sigmoid nonlinear multivariate Hawkes processes (SNMHP) and its dynamic version (dynamic-SNMHP) in the paper "Efficient Inference for Dynamic Flexible Interactions of Neural Populations".

Language:Jupyter NotebookLicense:MITStargazers:5Issues:0Issues:0

RKHS-for-Poisson-process

Implementation of the algorithm in "Poisson Intensity Estimation with Reproducing Kernels" Seth Flaxman et. al.

Language:Jupyter NotebookStargazers:3Issues:0Issues:0

Sigmoid-Gaussian-process-modulated-Poisson-process

Implementation of "Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities" Ryan Prescott Adams et. al.

Language:Jupyter NotebookStargazers:3Issues:0Issues:0

efficient-Gaussian-process-modulated-Poisson-process

Implementation of "Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes" Yves-Laurent Kom Samo and Stephen Roberts.

Language:Jupyter NotebookStargazers:2Issues:1Issues:0

variational-inference-for-gaussian-process-poisson-process

Implementation of "Variational Inference for Gaussian Process Modulated Poisson Processes" Chris Lloyd et. al.

Language:Jupyter NotebookStargazers:2Issues:0Issues:0

Wiener-Hopf-algorithm-for-Hawkes-process

Implementation of "First- and Second-Order Statistics Characterization of Hawkes Processes and Non-Parametric Estimation" Emmanuel Bacry and Jean-François Muzy.

Language:Jupyter NotebookStargazers:2Issues:0Issues:0

EM-Euler-Lagrange-Hawkes-process

Implementation of "Learning Triggering Kernels for Multi-dimensional Hawkes Processes" Ke Zhou et. al.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

conjugate-nonparametric-Hawkes-process

The repository implements the nonparametric Hawkes process in the paper "Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables".

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

DP-mixture-of-beta-distributions-for-Poisson-process

Implementation of "Dirichlet Process Mixtures of Beta Distributions, with Applications to Density and Intensity Estimation" Athanasios Kottas.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
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FSHawkesBeta

The repository implements the flexible state-switching Hawkes processes in the paper "Nonlinear Hawkes Processes in Time-Varying System".

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

HGCox

The repository implements the mean-field approximation algorithm for the heterogeneous multi-task Gaussian Cox processes in the paper "Heterogeneous Multi-Task Gaussian Cox Processes".

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0