Mathematics
Law of the Iterated Logarithm
100%
Partial Sums
86%
Strong Invariance Principle
79%
Partial Sum Process
72%
Integral Test
63%
Strong Approximation
53%
Random Vector
53%
Sums of I.i.d. Random Variables
46%
Empirical Process
45%
Invariance Principle
40%
Functional Law of the Iterated Logarithm
38%
Clustering
35%
Large Deviations
33%
Moment
33%
Kernel Regression
32%
Zero
30%
I.i.d. Random Variables
30%
Acute
28%
Theorem
27%
Random variable
26%
Large Deviation Probability
24%
Banach space
24%
Slowly Varying Function
24%
Hilbert space
23%
Identically distributed
23%
Gaussian Approximation
22%
Martingale
21%
Convergence Rate
21%
Kernel Estimator
19%
Representation Formula
19%
Approximation Theorem
19%
Domain of Attraction
19%
Regression Estimator
18%
Kernel Function
18%
Strong Theorems
17%
Regression Function
17%
Bandwidth
17%
Conditional Distribution
17%
Approximation
17%
Increment
17%
Gaussian Process
16%
Central limit theorem
15%
Estimate
15%
Estimator
15%
Brownian motion
14%
Weighted Approximation
14%
Necessary Conditions
14%
Distribution Function
14%
Subset
14%
Euclidean space
13%
Business & Economics
Sums of Random Variables
95%
Approximation
69%
Random Variables
57%
Hilbert Space
53%
Invariance
49%
Large Deviations
46%
Banach Space
39%
Clustering
36%
Integral
36%
Empirical Process
31%
Central Limit Theorem
29%
Martingale
25%
Gaussian Process
23%
Convergence Rate
22%
Conditional Distribution
20%
Distribution Function
18%
Brownian Motion
17%
Lower Bounds
16%
Regularity
16%
Attraction
15%
Moment Generating Function
13%
Weak Convergence
12%
Convergence Speed
12%
Kernel Density
12%
Wiener Process
12%
Density Function
10%
Limiting Distribution
10%
Moment Conditions
7%
Brownian Bridge
6%
Estimator
6%
Operator
6%
Upper Bound
5%
