Bayesian Statistics
Online
6 WeeksQuick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Bayesian Statistics will help the participant to understand the necessary bayesian concepts from a practical point of view for better decision making. The participants will learn how the Bayesian approach is used to estimate likely event outcomes or probabilities using datasets. This Bayesian Statistics course is being offered by IIM Bangalore. This Bayesian Statistics course is delivered through their digital learning platform IIMBx.
The duration of this Bayesian Statistics course is six weeks. The participants will learn the foundations of bayesian concepts, contrasting them with classical statistics. The curriculum is being bifurcated into theoretical and empirical segments. Once the participants have completed the Bayesian Statistics course they will have a comprehensive understanding of the Bayesian approach.
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
The Syllabus
- Foundations of Bayesian Inference
- Bayes theorem
- Advantages of Bayesian models
- Why Bayesian approach is so important in Analytics
- Major densities and their applications
- Likelihood theory and Estimation
- Parametrizations and priors
- Learning from binary models
- Learning from Normal Distribution
- Basics of Monte carol integration
- Basics of Markov chain Monte Carlo
- Gibs Sampling
- Examples of Bayesian Analytics
- Introduction to R and OPENBUGS for Bayesian analysis
- Context for Bayesian Regression Models
- Normal Linear regression
- Logistic regression
- Introduction to Multilevel models
- Exchangeability
- Computation in Hierarchical Models