Completed
maximum likelihood estimator
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Statistical Inference for Networks - Professor Gesine Reinert, University of Oxford
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 Outline
- 3 Reading list
- 4 What are networks
- 5 Marriage network
- 6 London network
- 7 Example networks
- 8 Research questions
- 9 Network summaries
- 10 Degree distribution
- 11 Local clustering coefficient
- 12 Global clustering coefficient
- 13 Expected clustering coefficient
- 14 Shortest distance
- 15 Motifs
- 16 Other measures
- 17 Mathematical models
- 18 Via networks
- 19 Power law
- 20 preferential attachment
- 21 stochastic block model
- 22 degrees
- 23 special models
- 24 maximum likelihood
- 25 maximum likelihood estimator
- 26 method of moments
- 27 duplication divergence model
- 28 log log plot
- 29 log plot example
- 30 Markov chain
- 31 Testing the model
- 32 Complications
- 33 General framework
- 34 Other topics
- 35 Sampling
