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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    English

    Courses and Certificate Fees

    Fees InformationsCertificate AvailabilityCertificate Providing Authority
    INR 1000yesIIT Kanpur

    The Syllabus

    • Probability and Random Variables I

    • Probability and Random Variables II

    • Bayes’ theorem, likelihood function, prior distribution, and posterior distribution

    • Parameter estimation I: Analytical methods and grid approximation

    • Parameter estimation II: Markov Chain Monte Carlo

    • Parameter estimation III: Hamiltonian Monte Carlo and the brms package

    • Bayesian regression modeling

    • Model comparison I: Cross validation

    • Model comparison II: Bayes factors

    • Bayesian hierarchical modeling

    • Bayesian modeling with Stan

    • Mixture models and multinomial processing trees

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