This page indexes some lecture notes for Stat 5421.
Web Page Versions (HTML)
- Review of Intro Stats
- To Accompany Agresti Chapter 1
- Statistical Inference for the Binomial Distribution
- Statistical Inference for the Poisson Distribution
- Fuzzy P-Values and Confidence Intervals
- Simple Chi-Square Tests for Contingency Tables
- Likelihood Inference
- Likelihood Computation
- To Accompany Agresti Chapter 4
- Bayesian Inference (see under Material from Other Courses below.
- To Accompany Agresti Chapter 8
- Overdispersion
- Exponential Families
- Conjugate Priors
- Sampling Schemes (Poisson, multinomial, and product multinomial
- To Accompany Agresti Chapter 9 (also Parametric Bootstrap)
- Model Selection and Model Averaging
- Graphical Models
- Completion of Exponential Families
Relevant Web Pages from Other Courses
- Reproducibility. Has Rmarkdown example.
- Coverage of Confidence Intervals
- Bayesian Inference via Markov Chain Monte Carlo (MCMC). PDF version and source code are found at the Stat 3701 web site.
PDF Versions
- Review of Intro Stats
- To Accompany Agresti Chapter 1
- Statistical Inference for the Binomial Distribution
- Statistical Inference for the Poisson Distribution
- Fuzzy P-Values and Confidence Intervals
- Simple Chi-Square Tests for Contingency Tables
- Likelihood Inference
- Likelihood Computation
- To Accompany Agresti Chapter 4
- Bayesian Inference (see under Material from Other Courses above.
- To Accompany Agresti Chapter 8
- Overdispersion
- Exponential Families
- Conjugate Priors
- Sampling Schemes
- To Accompany Agresti Chapter 9 (also Parametric Bootstrap)
- Model Selection and Model Averaging
- Graphical Models
- Completion of Exponential Families
Source Code
You probably do not need this, but here it is for those who want it.
The source is Rmarkdown. Each source file is self-contained except when otherwise noted, in which case one needs all of the files listed in those items.
- Review of Intro Stats
- To Accompany Agresti Chapter 1
- Statistical Inference for the Binomial Distribution
- Statistical Inference for the Poisson Distribution
- Fuzzy P-Values and Confidence Intervals
- Simple Chi-Square Tests for Contingency Tables
- Likelihood Inference, for which one needs the files
- Likelihood Computation
- To Accompany Agresti Chapter 4
- Bayesian Inference (see under Material from Other Courses above.
- To Accompany Agresti Chapter 8
- Overdispersion
- Exponential Families, for which one needs the files
- Conjugate Priors, for which one needs the files
- Sampling Schemes, for which one needs the files
- To Accompany Agresti Chapter 9 (also Parametric Bootstrap)
- Model Selection and Model Averaging
- Graphical Models
- Completion of Exponential Families, for which one needs the files
