Sarat Moka

Mathematics

1. Applied Probability 16%
2. Asymptotic Analysis 15%
3. Asymptotic Variance 16%
4. Bernoulli 21%
5. Central limit theorem 14%
6. Continuous Optimization 48%
7. Coordinate Descent 33%
8. Coupling from the Past 19%
9. Diffusion Limit 21%
10. Engineering 15%
11. Estimator 43%
12. Hard Spheres 49%
13. Heavy Tails 44%
14. Importance Sampling 51%
15. Interaction 17%
16. Justify 16%
17. Large Deviation Theory 20%
18. Large Deviations 18%
19. Markov Process 19%
20. Markov Random Field 15%
21. Mean deviation 19%
22. Model 16%
23. Multi-class 40%
24. Multiclass Queueing Networks 78%
25. Network Flow 21%
26. Non-negative 16%
27. Partial 20%
28. Perfect Sampling 78%
29. Perfect Simulation 48%
30. Performance Measures 21%
31. Point Process 40%
32. Poisson Point Process 33%
33. Q-learning 40%
34. Queueing Networks 61%
35. Random Geometric Graph 42%
36. Random variable 17%
37. Rare Events 61%
38. Regeneration 30%
39. Rejection Sampling 100%
40. Routing 17%
41. Sampling Methods 20%
42. Scheduling Policy 25%
43. Simulation 40%
44. Spatial Point Process 36%
45. Standard deviation 32%
46. Subset Selection 56%
47. Sums of Independent Random Variables 20%
48. Unbiased Estimation 39%
49. Variance Component Model 35%
50. Variance Reduction 22%