Fellowship - Sparse, Rank-Reduced and General Smooth Modelling

Mathematics

1. Generalized Additive Model 100%
2. Spline 61%
3. Smooth Function 54%
4. Random Effect 46%
5. Approximates 40%
6. Additive Model 40%
7. Regression Model 38%
8. Smooth Term 34%
9. Gaussian Distribution 32%
10. Ridge Regression 27%
11. Component Function 27%
12. Linear Extension 27%
13. Linear Predictor 27%
14. Robust Algorithm 27%
15. Gibbs Free Energy 27%
16. Model Selection 27%
17. Confidence Interval 27%
18. Discretization 27%
19. Nonlinear 27%
20. Bayesian 27%
21. Probability of Coverage 27%
22. Real Data 27%
23. Constrained Model 27%
24. Exponential Family 21%
25. Parameter Estimation 20%
26. Model Matrix 20%
27. Complex Model 16%
28. Prediction Problem 13%
29. Negative Binomial Distribution 13%
30. Inflation Model 13%
31. Matrix Operation 13%
32. Set Size 13%
33. Marginals 13%
34. Log Likelihood 13%
35. Covariate 13%
36. Supplementary Material 13%
37. Cox Proportional Hazards Model 13%
38. Marginal Likelihood 13%
39. Parametric 13%
40. Scale Model 13%
41. Controlling Parameter 13%
42. Residuals 12%
43. Parallelization 12%
44. Statistical Model 10%
45. Starting Value 9%
46. Stochastic Model 9%
47. Bayesian Inference 9%
48. Smooth Structure 9%
49. Wide Range 9%
50. Likelihood Ratio 6%
51. Variance Component 6%
52. Predicted Value 6%
53. Weighted Sum 6%
54. Sum of Squares 6%
55. Model Covariates 6%
56. Terabyte 6%
57. Iteration Scheme 6%
58. Trend Estimation 6%
59. Timescale 6%
60. Random Variable 6%
61. Edge 6%
62. Autocorrelation 6%
63. Cross Product 6%
64. Generalized Linear Mixed Model 6%
65. Model Fit 6%
66. Parameter Space 6%
67. Quadratic Form 6%
68. Software Source 5%
69. Statistical Approach 5%
70. Predictor Variable 5%
71. Temporal Correlation 5%
72. Rank Method 5%