Mathematics
Sliced Inverse Regression
100%
Covariates
59%
High-dimensional
57%
Formulation
44%
Linear Combination
30%
Subspace
24%
Sufficient Dimension Reduction
16%
Method of multipliers
15%
Alternating Direction Method
15%
Minimal Set
12%
Convex Optimization
12%
Variable Selection
12%
Conditional Distribution
11%
Numerical Study
11%
Higher Dimensions
10%
Optimization Problem
8%
Upper bound
7%
Estimate
5%
Business & Economics
Covariates
70%
Dimension Reduction
22%
Variable Selection
21%
Convex Optimization
16%
Conditional Distribution
14%
Upper Bound
11%
Agriculture & Biology
multipliers
49%
system optimization
45%
methodology
9%
Engineering & Materials Science