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Simultaneous and Selective Inference. Topics# Multiple Comparisons Problem, Error Rates, Power, Simultaneous Confidence Intervals, Multiple Comparison Procedures in Analysis-of-variance Model, Family-wise Error Rate Controlling Procedures, False Discovery Rate (fdr) Controlling Procedures, False Coverage Rate Controlling Confidence Intervals, Methods For Replicability Analysis, Applications in Genomics. Learning Outcomes# At The End of The Course The Student Will Be Able To#1. Identify Multiple Comparisons Problems in Applications and Find an Appropriate Method For False Discovery Control. 2. Implement The Multiple Comparison Procedures in Codes As Well As By Using Existing Software. 3. Construct Family-wise Error Rate Controlling Procedures. 4. Verify The Properties of Multiple Testing Procedures Theoretically And Via Numerical Simulations. 5. Compare Between Multiple Testing Procedures Theoretically and Via Numerical Simulations.

Faculty: Data and Decision Sciences
|Undergraduate Studies |Graduate Studies

Pre-required courses

94423 - Introduction to Statistics or 94424 - Statistics 1