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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
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
Instructors
Articles
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18 Aug'23, 11:51 AM
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13 Jun'23, 09:54 AM
4 Apr'23, 11:39 AM
27 Mar'23, 07:53 AM
22 Mar'23, 12:57 PM
22 Mar'23, 11:00 AM
29 Aug'23, 01:51 PM
29 Aug'23, 01:28 PM
29 Aug'23, 12:38 PM
29 Aug'23, 11:49 AM
29 Aug'23, 11:44 AM
29 Aug'23, 11:00 AM
29 Aug'23, 10:22 AM
28 Aug'23, 01:19 PM
28 Aug'23, 12:16 PM
28 Aug'23, 12:13 PM
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