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  • PSTAT 115

    • Introduction to Bayesian Data Analysis . PSTAT 115

    An introduction to the Bayesian approach to statistical inference, its theoretical foundations and comparison to classical methods. Topics include parameter estimation, testing, prediction and computational methods (Markov Chain Monte Carlo simulation). Emphasis on concepts, methods and data analysis. Extensive use of the R programming language and examples from the social, biological and physical sciences to illustrate concepts.

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    Prerequisites: PSTAT 126 with a minimum grade of C.

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
    These majors only finms stsds actsc stsap stats
    Instructors
    BARACALDO LAN
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    Lecture
    PHELP2524
    M T W R
    11:00 AM - 12:05 PM
    29 / 50
    Sections
    LSB 1101
    M W
    08:00 AM - 08:50 AM
    5 / 25
    ILP 3205
    M W
    09:30 AM - 10:20 AM
    24 / 25
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    Winter 2025 . Baracaldo Lan
    PSYCH1924
    T R
    15:30 PM - 16:45 PM
    Winter 2024 . Franks A
    BUCHN1930
    M W
    12:30 PM - 13:45 PM
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    PSTAT 115 Baracaldo Lan Winter 2025 Total: 56
    PSTAT 115 Baracaldo Lan Summer 2024 Total: 25
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