fraspass

Lecturer in Statistics @ImperialCollegeLondon

@ImperialCollegeLondon London, United Kingdom

Pinned Repositories

bikes_R
Analysis of the Santander bikes data
Language:R00
dcsbm
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Language:Python81
dl-imperial-maths
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
Language:Jupyter Notebook11
gb-mep
Graph-based mutually exciting point processes
Language:Jupyter Notebook10
human_activity
Mixture model for separating human and automated activity on a single edge within a computer network
Language:Python4 0 11
lsbm
Latent structure blockmodels for Bayesian spectral graph clustering
Language:Jupyter Notebook21
meg
Mutually exciting point process graphs for modelling dynamic networks
Language:Python5 3 35
ncbc
Nested Dirichlet models for unsupervised attack pattern detection in honeypot data
Language:Python7 2 80
pitman_yor
Modelling dynamic network evolution as a Pitman-Yor process
Language:Python01
sbm
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Language:Python8 1 01

fraspass/dcsbm
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Language:Python81
fraspass/sbm
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Language:Python8 1 01
fraspass/ncbc
Nested Dirichlet models for unsupervised attack pattern detection in honeypot data
Language:Python7 2 80
fraspass/meg
Mutually exciting point process graphs for modelling dynamic networks
Language:Python5 3 35
fraspass/human_activity
Mixture model for separating human and automated activity on a single edge within a computer network
Language:Python4 0 11
fraspass/lsbm
Latent structure blockmodels for Bayesian spectral graph clustering
Language:Jupyter Notebook21
fraspass/dl-imperial-maths
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
Language:Jupyter Notebook11
fraspass/gb-mep
Graph-based mutually exciting point processes
Language:Jupyter Notebook10
fraspass/bikes_R
Analysis of the Santander bikes data
Language:R00
fraspass/pitman_yor
Modelling dynamic network evolution as a Pitman-Yor process
Language:Python01