• Courses
  • PSTAT
  • PSTAT 221C

    • Advanced Probability Theory . PSTAT 221C

    Topics chosen from: large deviations; random walks; weak convergence in metric spaces; empirical processes; point processes; Gaussian processes; random fields; branching processes; inference for stochastic processes. Applications.

    + Add to schedule
    Prerequisites: PSTAT 213A-B-C.

    4

    Units

    Optional

    Grading

    1, 2, 3

    Passtime

    None

    Level Limit

    Letters and science

    College
    Instructors
    T B A
    No info found
    Lecture
    GIRV 2124
    F
    09:00 AM - 10:50 AM
    4 / 20
    Enrollment Trends
    Grading Trends (2)
    PSTAT 221C Goffard P M Spring 2024 Total: 15
    PSTAT 221C Elie R Spring 2016 Total: 5
    You Might Also Like
    PSTAT 213C
    20 / 30 Enrolled
    Introduction To Probability Theory And Stochastic Processes
    Tomoyuki Ichiba 3.8
    T R
    09:30 AM - 10:45 AM
    70.1% A
    PSTAT 220C
    26 / 30 Enrolled
    Advanced Statistical Methods
    Mengyang Michael Gu 3.8
    T R
    14:00 PM - 15:15 PM
    97.5% A
    PSTAT 222C
    10 / 10 Full
    Advanced Stochastic Processes
    Michael Ludkovski 3.3
    M W
    11:00 AM - 12:15 PM
    100.0% A
    PSTAT 223C
    5 / 5 Full
    ADVANCED TOPICS IN FINANCIAL MODELING
    Michael Ludkovski 3.3
    M W
    11:00 AM - 12:15 PM
    96.8% A
    PSTAT 230
    21 / 35 Enrolled
    Seminar and Projects in Statistical Consulting
    Wendy Meiring 2.8
    M W
    11:00 AM - 12:15 PM
    88.6% A
    PSTAT 231
    18 / 25 Enrolled
    Introduction to Statistical Machine Learning
    Katie Coburn 3.3
    T R
    15:30 PM - 16:45 PM
    77.4% A