Think Bayes



Download free course Think Bayes, pdf file on 213 pages by Allen Downey.
If 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.

Use your existing programming skills to learn and understand Bayesian statistics; Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing; Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey; Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.

Table of contents

  • Bayess Theorem
  • Computational Statistics
  • Estimation
  • More Estimation
  • Odds and Addends
  • Decision Analysis
  • Prediction
  • Observer Bias
  • Approximate Bayesian Computation
  • Hypothesis Testing
  • Evidence
  • Simulation
  • A Hierarchical Model
  • Dealing with Dimensions
  •  
  •  
Pages : 213
Size : 2.9 MB
File type : PDF
Downloads: 36
Created: 2022-02-03
License: CC BY-NC
Author(s): Allen Downey
Think Bayes

Others Computer science Tutorials

Kubernetes Patterns

Semantic Systems. In the Era of Knowledge Graphs

Mobile Media Learning

META-NET Strategic Research Agenda for Multilingual Europe 2020

Jenkins: The Definitive Guide

Others related eBooks about Think Bayes

Software for Exascale Computing - SPPEXA 2016-2019

Download free course Software for Exascale Computing - SPPEXA 2016-2019, pdf file on 624 pages by Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel....

Go Succinctly

Download free course Go Succinctly, pdf file on 104 pages by Mark Lewin....

The Next.js Handbook

Download free course The Next.js Handbook, pdf file on 102 pages by Flavio Copes....

Laravel 5 Official Documentation

Download free course Laravel 5 Official Documentation, pdf file on 1211 pages by Gary Blankenship....

Application Insights Succinctly

Download free course Application Insights Succinctly, pdf file on 75 pages by by Roberto Albano....

Jenkins: The Definitive Guide

Download free course Jenkins: The Definitive Guide, pdf file on 417 pages by John Ferguson Smart....

Introduction to High-Performance Scientific Computing

The field of parallel scientific computing lies at the crossroads of a number of disciplines and skill sets, and correspondingly, for someone to be successful at using parallel computing in science requires at least elementary knowledge of and skills in all these areas. ...

Mastering AWS Development

This book is a practical guide to developing, administering, and managing applications and..., download free AWS Development tutorial in PDF (416 pages) created by Uchit Vyas ....

Elements of Robotics

Download free course Elements of Robotics, pdf file on 311 pages by Mordechai Ben-Ari, Francesco Mondada....

Xamarin.Forms for macOS Succinctly

Download free course Xamarin.Forms for macOS Succinctly, pdf file on 122 pages by Alessandro Del Sole....