Bayesian Statistics: Techniques and Models
- 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