Math-St
Degree-based network models
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
A two-stage denoising filter: the preprocessed Yaroslavsky filter
Identifying Optimal Sequential Decisions
Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs
Null models for network data
On the Performance of Transmit Antenna Selection Based on Shadowing Side Information
Pseudo-likelihood methods for community detection in large sparse networks
Voting Power : A Generalised Framework
A Bayesian Probability Calculus for Density Matrices
Bootstrapping under constraint for the assessment of group behavior in human contact networks
Distributions of Demmel and Related Condition Numbers
