Bayesian Statistics: Techniques and Models

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  • Statistical modeling and Monte Carlo estimation
    • Statistical modeling, Bayesian modeling, Monte Carlo estimation
  • Markov chain Monte Carlo (MCMC)
    • Metropolis-Hastings, Gibbs sampling, assessing convergence
  • Common statistical models
    • Linear regression, ANOVA, logistic regression, multiple factor ANOVA
  • Count data and hierarchical modeling
    • Poisson regression, hierarchical modeling
  • Capstone project
    • Peer-reviewed data analysis project