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Likelihood Ratio Tests for High-Dimensional Normal Distributions
Tiefeng Jiang
,
Yongcheng Qi
Statistics (Twin Cities)
Mathematics & Statistics
Research output
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Contribution to journal
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Article
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peer-review
44
Scopus citations
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Dive into the research topics of 'Likelihood Ratio Tests for High-Dimensional Normal Distributions'. Together they form a unique fingerprint.
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Mathematics
Likelihood Ratio Test
60%
Central limit theorem
53%
Gaussian distribution
49%
High-dimensional
47%
Chi-square
44%
Infinity
26%
Likelihood Ratio Test Statistic
25%
Histogram
22%
Normal Population
22%
Directly proportional
16%
Simulation
12%
Necessary Conditions
11%
Approximation
9%
Sufficient Conditions
9%
Business & Economics
Central Limit Theorem
100%
Likelihood Ratio Test
70%
Normal Distribution
62%
Histogram
26%
Test Statistic
20%
Approximation
15%
Simulation
12%