(Downloads - 0)
For more info about our services contact : help@bestpfe.com
Table of contents
1 Introduction
1 Motivations : des données manquantes dans les réseaux
2 État de l’art
3 Contributions de la thèse
2 Variational inference of Stochastic Block Model from sampled data
1 Introduction
2 Statistical framework
3 Variational Inference
4 Simulation study
5 Importance of accouting for missing values in real networks
6 Conclusion
7 Supplementary
3 Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data
1 Introduction
2 Statistical framework
3 Complete-observed Model
4 Main Result
5 Proof Sketch
6 Variational and Maximum Likelihood Estimates
7 Discussion
8 Acknowledgment
9 Supplementary
10 Technical results
11 Main Results
12 Sub-exponential random variables
13 Likelihood ratio of assignments
14 General technical results
4 SBM with covariates and missing values
1 Introduction
2 Stochastic Block Models with covariates and sampling models
3 Statistical inference
4 Illustrations
5 Conclusion
5 missSBM: An R Package for Handling Missing Values in the Stochastic Block Model
1 Introduction
2 Statistical Framework
3 Structure of the Package
4 Guidelines for Users
5 Illustration: the 2007 French political blogosphere
6 Conclusion et perspectives
1 Conclusion
2 Perspectives
Bibliography




