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Spring 2026
This course covers advanced theory and methodology in statistical inference. It includes, but is not limited to, substantial, in-depth coverage of topics in asymptotic inference. Context and additional topics vary by instructor.
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3.70
Spring 2026
This course develops skills related to the practice of statistical consulting. It covers conceptual topics and provides experience with data analysis projects found in or resembling those in statistical practice. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software.Prerequisite: Graduate standing in Statistics
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Spring 2026
Advanced graduate seminar in current research topics. Offerings in each semester are determined by student and faculty research interests.
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Spring 2026
For doctoral research, taken before a dissertation director has been selected.
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Spring 2026
For doctoral research, taken under the supervision of a dissertation director.
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