36-705 Intermediate Statistics
Instructor: Larry Wasserman
Time: MWF 1:20 - 2:10
Course descriptionThis course will cover the fundamentals of theoretical statistics. We will cover Chapters 1 -- 12 from the text plus some supplementary material. This course is excellent preparation for advanced work in statistics and machine learning.
Textbook: Wasserman, L. (2004). All of Statistics: A concise course in statistical inference.
Other Recommended Texts:
Casella, G. and Berger, R. L. (2002). Statistical Inference, 2nd ed.
Bickel, P. J. and Doksum, K. A. (1977). Mathematical Statistics.
Rice, J. A. (1977). Mathematical Statistics and Data Analysis, Second Edition.
Van der Vaart, A. (2000). Asymptotic Statistics.
PrerequisitesI assume that you know the material in Chapters 1-3 of of the book (basic probability) are familiar to you. If not, then you should take 36-700.
The syllabus includes information about assignments, exams and grading.
AssignmentsAssignments are due on Thursdays at 3:00 p.m. Hand in the assignment via gradescope on canvas. No late assignments will be accepted. If you need an extension due to illness, email me BEFORE the deadline.
Homework 1 due Friday Sept 4 by 3:00.
Lecture NotesLecture Notes 1 Lecture Notes 2 Lecture Notes 3 Lecture Notes 4 Lecture Notes 5 Lecture Notes 6 Lecture Notes 7 Lecture Notes 8 Lecture Notes 9 Lecture Notes 10 Lecture Notes 11 Lecture Notes 12 Lecture Notes 13 Lecture Notes 14 Lecture Notes 15 Lecture Notes 16 Lecture Notes 17 Lecture Notes 18 Lecture Notes 19 Lecture Notes 20 Lecture Notes 21 Lecture Notes 22 Lecture Notes 23 Lecture Notes 24 Lecture Notes 25 Lecture Notes 26 Lecture Notes 27