STATISTICS 961, Fall Semester 2019, Course Web Page

• Syllabus

• Instructor's office hours:
• By appointment

• Goals and Non-Goals:
• There is just one goal -- prepare 1st year PhD students in statistics for research.
• This is not an applied statistics course.
• This is not an R course. Fluency in R is assumed.

• If you are not a 1st year PhD student in statistics, please, note:
• Undergraduate and MBA students require an interview with the instructor.
• The course grade is heavily based on class participation (35%).
• PhD students from programs other than statistics should not count on completing this class and therefore sign up for sufficient credit from other courses.
• Course Selection Period ends on Tuesday, 2019/09/10.
• Drop Period ends on Monday, 2019/10/07.

Homework Assignments:
• Homework 2 : Linear algebra (2).
Edit the LaTex source of Homework 2.
Read the instructions carefully.
• Homework 1 : Linear algebra (1) and Latex practice.
Edit the LaTex source of Homework 1.
Read the instructions carefully.
• If you have never used LaTex, you may want to consult with more senior students how to set yourself up and get a gentle introduction,
or you can install free software and documentation from the following sources: In the manual, pay special attention to Section 1.3.2 (special characters) and Chapter 3 for math typesetting (math symbols: Section 3.10). To produce PDF from LaTex, the LEd environment requires you to click the green and blue right arrows in the tool bar. Feel free to check out other free software and other documents. If you find something particularly useful, please, let the instructor know.

Course Materials:

Datasets:

R Functions:

IMPORTANT: If a function in the class notes does not work or is not found in your R session, check whether the function is in one of the R code files below. If so, download and read the file into R one more time, even if you thought you had done so earlier. I allow myself to update the code all the time.

Background Papers:
• The paper on tree-based regression and classification is in this PDF file.

• The paper on additive principal components is in this PDF file.

Syllabus STAT 961