• Courses
  • PSTAT
  • PSTAT 213C

    • Introduction To Probability Theory And Stochastic Processes . PSTAT 213C

    Martingales, martingale convergence, stopping times, optional sampling, optional stopping theorems and applications, maximal inequalities. Brownian motion, introduction to diffusions.

    + Add to schedule
    Prerequisites: PSTAT 213B

    4

    Units

    Optional

    Grading

    1, 2, 3

    Passtime

    None

    Level Limit

    Letters and science

    College
    Unlocks PSTAT 221C PSTAT 223A PSTAT 222C
    Instructors
    FELDMAN R
    No info found
    Lecture
    GIRV 2127
    T
    14:00 PM - 15:50 PM
    0 / 30
    Sections
    GIRV 2119
    F
    13:00 PM - 13:50 PM
    0 / 30
    Enrollment Trends
    Past Enrollment Trends (2)
    Spring 2024 . Ichiba T
    GIRV 2116
    T R
    09:30 AM - 10:45 AM
    Spring 2025 . Hu R
    ILP 3209
    M W
    09:30 AM - 10:45 AM
    Grading Trends (14)
    See All
    PSTAT 213C Feldman R Spring 2023 Total: 16
    PSTAT 213C Feldman R Spring 2022 Total: 15
    You Might Also Like
    PSTAT 197C
    0 / 60 Enrolled
    Capstone Project in Data Science
    Katie Coburn 3.1
    T R
    12:30 PM - 13:45 PM
    PSTAT 199
    0 / 20 Enrolled
    Independent Studies in Statistics
    Tomoyuki Ichiba 3.8
    PSTAT 207C
    0 / 30 Enrolled
    Statistical Theory
    Andrew Carter 3.0
    T R
    09:30 AM - 10:45 AM
    PSTAT 220C
    0 / 40 Enrolled
    Advanced Statistical Methods
    Mengyang Michael Gu 3.9
    M W
    09:30 AM - 10:45 AM
    PSTAT 222C
    0 / 10 Enrolled
    Advanced Stochastic Processes
    Alexander Shkolnik 3.7
    M W
    14:00 PM - 15:15 PM
    PSTAT 223C
    0 / 5 Enrolled
    ADVANCED TOPICS IN FINANCIAL MODELING
    Alexander Shkolnik 3.7
    M W
    14:00 PM - 15:15 PM