Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis

Mathematics

• Variable Selection 56%
• Data analysis 49%
• Dirichlet 48%
• Covariates 46%
• Regression 42%
• Multinomial Model 29%
• Count 28%
• Overdispersion 27%
• Nutrients 26%
• Human 19%
• Regression Model 18%
• Coordinate Descent 14%
• Descent Algorithm 13%
• Penalized Likelihood 13%
• Multiple Testing 13%
• Demonstrate 13%
• Selection Procedures 12%
• Sparsity 11%
• Likelihood Ratio Test 11%
• Dimensionality 11%
• Penalty 10%
• Proportion 9%
• Output 8%
• Optimization Problem 7%
• Testing 7%
• Model 7%
• Simulation 6%
• Estimate 5%

Business & Economics

• Dirichlet 74%
• Covariates 55%
• Nutrient Intake 34%
• Overdispersion 33%
• Sequencing 24%
• Testing 18%
• Regression Model 18%
• Likelihood Ratio Test 13%
• Dimensionality 12%
• Optimization Problem 10%
• Penalty 9%
• Proportion 8%
• Simulation 7%

Engineering & Materials Science

• Microorganisms 65%
• Chemical analysis 20%
• Nutrients 19%
• Testing 8%