The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square

Mathematics

• Chi-square 81%
• Logistic Regression 77%
• Likelihood Ratio Test 74%
• Log-likelihood Ratio 68%
• High-dimensional 58%
• Wilks' Theorem 57%
• Scaling Factor 47%
• Logistic Model 40%
• p-Value 38%
• Regression Model 29%
• Sample Size 27%
• Approximation 27%
• Probit Regression 26%
• Message Passing 24%
• Probit Model 23%
• Convex Geometry 23%
• Random Matrix Theory 22%
• Statistical Significance 22%
• Dimensionality 18%
• Limiting Distribution 17%
• Statistical Inference 17%
• Null hypothesis 16%
• Predict 16%
• Degree of freedom 15%
• Nonlinear Systems 14%
• Complement 13%
• Unknown 11%
• Converge 11%
• Class 5%

Business & Economics

• Logistic Regression 100%
• Likelihood Ratio Test 86%
• Likelihood Ratio 83%
• Sample Size 48%
• Approximation 43%
• Logistic Model 42%
• Scaling 42%
• P Value 42%
• Convex Geometry 33%
• Regression Model 29%
• Random Matrix Theory 26%
• Statistical Inference 24%
• Nonlinear Systems 24%
• Probit Regression 22%
• Limiting Distribution 22%
• Regression Coefficient 21%
• Dimensionality 20%
• Statistical Significance 19%
• Finite Sample 19%
• Factors 12%