Think Bayes: Bayesian Statistics in PythonIf you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start.
|
Contents
Section 1 | |
Section 2 | |
Section 3 | |
Section 4 | |
Section 5 | |
Section 6 | |
Section 7 | |
Section 8 | |
Section 12 | |
Section 13 | |
Section 14 | |
Section 15 | |
Section 16 | |
Section 17 | |
Section 18 | |
Section 19 | |
Section 9 | |
Section 10 | |
Section 11 | |
Section 20 | |
Section 21 | |
Other editions - View all
Common terms and phrases
Alice and Bob alpha analysis approximately Bayes factor Bayes’s theorem Bayesian belly button data beta distribution Boston Bruins Bowl chapter choose coin compute the distribution compute the likelihood Conditional distributions conditional probability cookie problem credible interval dataset def __init__(self def Likelihood(self def Update(self diachronic interpretation dice diff Dirichlet distribution Discussion distribution of goals efficacy error estimate Euro problem example Figure Gaussian Geiger counter problem given guess Here’s the code hypo joint distribution likelihood function locomotive problem loglikelihood median modeling decisions Monty Hall problem number of passengers odds parameters PDFs percentiles Player Poisson process posterior distribution Predictive distributions prevalence prior distribution prob probability density Python question random raw scores Representing PDFs return pmf sample Serial Correlation showcase sigma simulations standard deviation statistics suite testtaker thinkbayes.Pmf tigers and bears tumor unseen species update vanilla cookie Variability Hypothesis wait