Interacting Stochastic Processes on Random Graphs

Interacting Stochastic Processes on Random Graphs

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classical limit theorems

12 of 25

12 of 25

classical limit theorems

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Classroom Contents

Interacting Stochastic Processes on Random Graphs

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  1. 1 Introduction
  2. 2 Kavita Ramanan
  3. 3 About this talk
  4. 4 Discrete time contact process
  5. 5 continuous time models
  6. 6 voter model
  7. 7 spike train model
  8. 8 neuronal hox model
  9. 9 coupled oscillators
  10. 10 stochastic processes evolving
  11. 11 questions of interest
  12. 12 classical limit theorems
  13. 13 weak convergence
  14. 14 empirical measures
  15. 15 Wiener measure
  16. 16 Weak interactions
  17. 17 Dense graphs
  18. 18 Sparse regime
  19. 19 Challenges in sparse regime
  20. 20 Local convergence
  21. 21 Counterexamples
  22. 22 Autonomous characterization
  23. 23 Unimodular roots
  24. 24 Discrete time process
  25. 25 Goal

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