Bayesian statistics the fun way : understanding statistics and probability with Star Wars, LEGO, and Rubber Ducks /
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| Author / Creator: | Kurt, Will, author. |
|---|---|
| Imprint: | San Francisco : No Starch Press, [2019] |
| Description: | 1 online resource (xxii, 234 pages) : illustrations. |
| Language: | English |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12309387 |
Table of Contents:
- Part 1. Introduction to probability. Bayesian thinking and everyday reasoning
- Measuring uncertainty
- The logic of uncertainty
- Creating a binomial probability distribution
- The beta distribution
- Part 2. Bayesian probability and prior probabilities. Conditional probability
- Bayes' theorem with LEGO
- The prior, likelihood, and posterior of Bayes' theorem
- Bayesian priors and working with probability distributions
- Part 3. Parameter estimation. Introduction to averaging and parameter estimation
- Measuring the spread of our data
- The normal distribution
- Tools of parameter estimation : the PDF, CDF, and Quantile function
- Parameter estimation with prior probabilities
- Part 4. Hypothesis testing: the heart of statistics. From parameter estimation to hypothesis testing : building a Bayesian A/B test
- Introduction to the Bayes factor and posterior odds : the competition of ideas
- Bayesian reasoning in the twilight zone
- When data doesn't convince you
- From hypothesis testing to parameter estimation
- Appendix A: A quick introduction to R
- Appendix B: Enough calculus to get by.
