Bayesian Computational Analyses with R

BY
Udemy

Mode

Online

Fees

₹ 449 1999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

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 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

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)

Instructors

Dr Geoffrey Hubona
Associate Professor
Freelancer

B.E /B.Tech, Other Bachelors, Other Masters, Ph.D, M...

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