Stat 512: Advanced Statistical Theory II Fall 2014 Instructor data. Name: Dr. Ryan Martin Office: SEO 506 Phone: 312-413-2156 Email: [email protected] Course data. Class number: 37070 Prerequisites: Stat 511, or consent of the instructor. Textbook: A. van der Vaart, Asymptotic Statistics, Cambridge, 1998 Lectures: MWF 9:00–9:50am in Addams Hall, Room 303 Office hours: MWF 10:00–11:00am, or by appointment. Website: www.math.uic.edu/ ~ rgmartin/stat512.html Course objectives. Stat 512, a follow-up to Stat 511, explores some advanced theory and concepts in statistical inference. The goal of this course is to bridge the gap between coursework and research in statistical theory and methodology. To accomplish this goal, students will perform a literature review, in an area of their choice, and present what they have learned both orally and in writing. Details of the project, including a list of possible topics, can be found on the course website. The website also provides a tentative lecture outline, and some other miscellaneous information. Software. We may occasionally make use of the R statistical software. Windows, Mac, and Unix versions of R can be downloaded for free at http://cran.r-project.org. Assignments and grades. Homework is worth 50% and the project is worth 50%; there will be no exams. Homework will be assigned semi-regularly, and there will be several “check-points” throughout the semester to assess your progress on the project. Grades will be assigned based on the rule: A ≥ 90% > B ≥ 80% > C ≥ 70% > D ≥ 60% > F. The instructor reserves the right to make adjustments to the overall grading policy, but the letter grade cutoffs will be no stricter than those advertised above. Miscellany. • In principle, no late homework or project submissions will be accepted. • Homework and project are to be completed in (fixed) groups of 2–3 students each. Everyone in the group will get the same score. • Familiarize yourself with the UIC Guidelines for Student Conduct, at http://www. uic.edu/depts/dos/studentconduct.html. • Disputes about grading must be brought to my attention within one week after the graded assignment is returned.

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Stat 512: Advanced Statistical Theory II Fall 2014

Instructor data.

Name: Dr. Ryan MartinOffice: SEO 506Phone: 312-413-2156Email: [email protected]

Course data.

Class number: 37070Prerequisites: Stat 511, or consent of the instructor.Textbook: A. van der Vaart, Asymptotic Statistics, Cambridge, 1998Lectures: MWF 9:00–9:50am in Addams Hall, Room 303Office hours: MWF 10:00–11:00am, or by appointment.Website: www.math.uic.edu/~rgmartin/stat512.html

Course objectives. Stat 512, a follow-up to Stat 511, explores some advanced theoryand concepts in statistical inference. The goal of this course is to bridge the gap betweencoursework and research in statistical theory and methodology. To accomplish this goal,students will perform a literature review, in an area of their choice, and present whatthey have learned both orally and in writing. Details of the project, including a list ofpossible topics, can be found on the course website. The website also provides a tentativelecture outline, and some other miscellaneous information.

Software. We may occasionally make use of the R statistical software. Windows, Mac,and Unix versions of R can be downloaded for free at http://cran.r-project.org.

Assignments and grades. Homework is worth 50% and the project is worth 50%;there will be no exams. Homework will be assigned semi-regularly, and there will beseveral “check-points” throughout the semester to assess your progress on the project.Grades will be assigned based on the rule:

A ≥ 90% > B ≥ 80% > C ≥ 70% > D ≥ 60% > F.

The instructor reserves the right to make adjustments to the overall grading policy, butthe letter grade cutoffs will be no stricter than those advertised above.

Miscellany.

• In principle, no late homework or project submissions will be accepted.

• Homework and project are to be completed in (fixed) groups of 2–3 students each.Everyone in the group will get the same score.

• Familiarize yourself with the UIC Guidelines for Student Conduct, at http://www.uic.edu/depts/dos/studentconduct.html.

• Disputes about grading must be brought to my attention within one week after thegraded assignment is returned.