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Model-Free Statistical Inference on High-Dimensional Data
Xu Guo
,
Runze Li
, Zhe Zhang
, Changliang Zou
Statistics
Department of Public Health Sciences
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
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Contribution to journal
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Article
›
peer-review
3
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Dive into the research topics of 'Model-Free Statistical Inference on High-Dimensional Data'. Together they form a unique fingerprint.
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Keyphrases
Statistical Inference
100%
High-dimensional Data
100%
Degrees of Freedom
50%
Monte Carlo Simulation Study
50%
Effective Model
50%
Test Statistic
50%
Proposed Methodology
50%
Power Analysis
50%
Population Distribution
50%
Inference Methods
50%
False Discovery Rate
50%
Asymptotic Distribution
50%
Sufficient Dimension Reduction
50%
Hypothesis Testing Problem
50%
Model Inference
50%
Local Hypothesis
50%
Multiple Testing Procedure
50%
Standardized Definitions
50%
Proposed Equations
50%
Mathematics
Inferential Statistics
100%
Dimensional Data
100%
Simulation Study
50%
Test Statistic
50%
Multiple Testing
50%
Inference Procedure
50%
Testing Procedure
50%
Supplementary Material
50%
Asymptotic Distribution
50%
Unknown Population
50%
Local Alternative Hypothesis
50%
False Discovery Rate
50%
Hypothesis Testing Problem
50%
Degree of Freedom
50%
Population Distribution
50%
Power Analysis
50%
Monte Carlo Method
50%