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- Introduction to Bayesian Computational Analysis with R
- Introduction to Course Materials
- Introduction to R Software (slides, part 1)
- Introduction to R Software (slides, part 2)
- Introduction to R Software (slides, part 3)
- Introduction to R Software with Scripts (part 1)
- Introduction to R Software with Scripts (part 2)
- Introduction to R Software with Scripts (part 3)
- Introduction to R Software with Scripts (part 4)
- Introduction to R Software with Scripts (part 5)
- Programming a Monte Carlo Simulation
- Section 1 R Scripting Exercises
Quick Facts
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|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹1,999
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
Introduction to Bayesian Course and top R Software
Introduction to Bayesian Thinking
- More on the course and Materials
- Session 1 R Scripting Exercise Solutions
- Background on Probability Density Functions (PDFs)
- Normal dnorm() Functions (part 1)
- Normal dnorm() Functions (part 2)
- Normal pnorm() Function
- Bayes' Rule and More
- Likelihood Function
- Using Discrete Priors (part 1)
- Using Discrete Priors (part 2)
- Using a Beta Prior (part 1)
- Using a Beta Prior (part 2)
- Using a Beta Prior (part 3)
- Simulating Beta Posteriors
- Brute Force Posterior Simulation using Histogram Prior
- Predictive Priors (slides)
- Predictive Priors (scripts, part 1)
- Predictive Priors (scripts, part 2)
- Section 2 Exercises
Single Parameter Bayesian Model
- Section 2 Exercise Solution
- Prelude to Single Parameter Models
- Single Parameter Models
- Heart Transplant Mortality Rate (part 1)
- Heart Transplant Mortality Rate (part 2)
- Test of Bayesian Robustness (part 1)
- Test of Bayesian Robustness (part 2)
- Exercise: How Many Taxis?
Conjugate Mixtures
- Exercise Solution: How Many Taxis?
- Conjugate Mixtures (part 1)
- Conjugate Mixtures (part 2)
- A Bayesian Test of the Fairness of a Coin (part 1)
- A Bayesian Test of the Fairness of a Coin (part 2)
- More on the Fairness of a Coin (part 3)
- Introduction to Probability Density Functions (part 1)
- Intro to PDFs (part 2)
- Intro to PDFs (part 3)
Multi-Parameter Bayesian Model
- Mortality Rate Exercise Solution (part 1)
- Mortality Rate Exercise Solution (part 2)
- Normal Multiparameter Models (part 1)
- Normal Multiparameter Models (part 2)
- Normal Multiparameter Models (part 3)
- Multinomial Multiparameter Models (part 1)
- Multinomial Multiparameter Models (part 2)
- Bioassay Experiment (part 1)
- Bioassay Experiment (part 2)
- Exercise: Comparing Two Proportions
Bayesian Computation
- Exercise Solution: Comparing Two Proportions (part 1)
- Exercise Solution: Comparing Two Proportions (part 2)
- Introduction to Bayesian Computation Section
- Computing Integrals to Estimate a Probability (part 1)
- Computing Integrals to Estimate a Probability (part 2)
- A Beta-Binomial Model of Overdispersion (part 1)
- A Beta-Binomial Model of Overdispersion (part 2)
- Exercise: Inference About a Normal Population
Rejection and Importance Sampling
- Exercise Solution: Inference about a Normal Population
- Rejection Sampling (part 1)
- Rejection Sampling (part 2)
- Rejection Sampling (part 3)
- Rejection Sampling (part 4)
- Rejection Sampling (part 5)
- Rejection Sampling (part 6)
- Importance Sampling
Comparing Bayesian Models
- One-Sided Test of a Normal Mean (part 1)
- One-Sided Test of a Normal Mean (part 2)
- One-Sided Test of a Normal Mean (part 3)
- Two-Sided Test of a Normal Mean
- Streaky Behavior (part 1)
- Streaky Behavior (part 2)
- Streaky Behavior (part 3)
- Streaky Behavior (part 4)
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