Keyphrases
Multiple Testing
100%
Non-asymptotic
100%
Sample Application
100%
Robust M-estimation
100%
Huber Estimator
100%
Finite-sample Theory
100%
Approximation Results
66%
Normal Approximation
66%
Tuning Parameter
66%
Least Square Method
33%
Numerical Results
33%
Second Moment
33%
Moment Conditions
33%
Letting
33%
Least Squares Estimate
33%
Statist
33%
Sampling Distribution
33%
Multiple Testing Procedure
33%
Noise Variables
33%
Concentration Results
33%
Nominal Level
33%
Outlying Observation
33%
Simultaneous Inference
33%
Moderate Deviations
33%
Deviation Inequalities
33%
Sub-Gaussian
33%
Heavy-tailed Data
33%
Heavy-tailed Errors
33%
Bahadur Representation
33%
Robust Normal
33%
Berry-Esseen Inequality
33%
False Discovery Proportion
33%
Mathematics
Multiple Testing
100%
Normal Approximation
100%
M-Estimation
100%
Method of Least Square
50%
Moment Condition
50%
Gaussian Distribution
50%
Least-Squares Estimate
50%
Sampling Distribution
50%
Nominal Level
50%
Variance
50%
Testing Procedure
50%
Esseen Inequality
50%