Introduction to Bayesian Hierarchical and Multi-level Models – Statistics.Com

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This online course, extends the Bayesian modeling framework to cover hierarchical models, and to add flexibility to standard Bayesian modeling problems.  Participants will learn how to define three stage hierarchical models and to implement them using Winbugs, in multilevel, meta-analytic and regression applications.  Continuous, count and binary outcomes are covered.  Participants will also learn how to assess goodness-of-fit.

Course Program:

  • Week 1 – Defining Bayesian Hierarchical Models
  • Week 2 – Bayesian Hierarchical Models for Meta Analysis
  • Week 3 – Multi-Level and Panel Models
  • Week 4 – More on Multilevel Models; Hierarchical Bayesian Regression Models

Important Date:

May 20, 2016 to June 17, 2016

Duration: 

4 Weeks

Time Requirement:

About 15 hours per week, at times of  your choosing.

Fees:

INR 37,740 (assuming $ = INR 60)

Part Time/Full Time:

Part Time

Statistical analysts with some familiarity with Bayesian analysis who want to deepen their skill set in Bayesian modeling.

  • WinBUGS
  • Peter Congdon
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