Stochastic Limit Theory: An Introduction for Econometricians
No. | Call n° | Bar code | Commentary | |
---|---|---|---|---|
1 | [on loan until 21/07/2022] |
Comment :
ISBN 13 : 978-0192844507
Contents :
I Mathematics
1. Sets and Numbers
2 .Limits, Sequences, and Sums
3 .Measure
4 .Integration
5. Metric Spaces
6. Topology
II Probability
7. Probability Spaces
8 .Random Variables
9. Expectations
10. Conditioning
11. Characteristic Functions
III Theory of Stochastic Processes
12. Stochastic Processes
13. Time Series Models
14. Dependence
15. Mixing
16. Martingales
17. Mixingales
18. Near-Epoch Dependence
IV The Law of Large Numbers
19. Stochastic Convergence
20. Convergence in Lp Norm
21. The Strong Law of Large Numbers
22. Uniform Stochastic Convergence
V The Central Limit Theorem
23. Weak Convergence of Distributions
24. The Classical Central Limit Theorem
25. CLTs for Dependent Processes
26. Extensions and Complement
VI The Functional Central Limit Theorem
27. Measures on Metric Spaces
28. Stochastic Processes in Continuous Time
29. Weak Convergence
30. Càdlàg Functions
31. FCLTs for Dependent Variables
32 .Weak Convergence to Stochastic Integrals
Language : English
Print : 2ème
Location : Nice Library
Material : Paper
Statement : Présent
Owner : Bibliothèque