Siegfried Hörmann

Mathematics

1. Functional Data 100%
2. Empirical Process 75%
3. Time Series Analysis 49%
4. Independent Random Variables 45%
5. Invariance Principle 45%
6. Dependence Structure 39%
7. Central Limit Theorem 30%
8. Covariate 30%
9. Class 30%
10. Asymptotics 30%
11. Curve 30%
12. Functional Principal Component Analysis 30%
13. Covariance Structure 30%
14. Stationary Sequence 30%
15. Functional Series 30%
16. Likelihood Principle 30%
17. Discrete Fourier Transform 30%
18. Likelihood Approach 30%
19. Normal Approximation 30%
20. GARCH Model 30%
21. Stationarity 30%
22. Factor Dynamic 30%
23. Applied Statistics 30%
24. Change Point Analysis 30%
25. Gaussian Distribution 30%
26. Supplementary Material 30%
27. Simulation Study 30%
28. Asymptotic Distribution 30%
29. Variables 30%
30. Limit Theorem 30%
31. Kolmogorov 30%
32. Conditional Distribution 30%
33. Probability Theory 30%
34. Hilbert Space 17%
35. Inferential Statistics 15%
36. Explanatory Variable 15%
37. Asymptotic Behavior 15%
38. Practical Advantage 15%
39. Asymptotic Theory 15%
40. Common Component 15%
41. Additive Error 15%
42. Asymmetric 15%
43. Statistics 15%
44. Parameter Estimation 15%
45. Parametric Model 15%
46. Predictor 15%
47. Factor Score 15%
48. Random Field 15%
49. Approximation Theory 15%
50. Linear Functionals 15%