A Student’s Guide to Bayesian Statistics (Paperback)

Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics.

Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers:

• An introduction to probability and Bayesian inference
• Understanding Bayes′ rule 
• Nuts and bolts of Bayesian analytic methods
• Computational Bayes and real-world Bayesian analysis
• Regression analysis and hierarchical methods

This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.

這本書是第一本以學生為對象的貝葉斯統計學入門書籍，並配有豐富的學習功能、練習題、視覺元素，以及線上視頻教程和互動模擬。作者在不簡化技術完整性的情況下，運用易於理解且學生友好的語言，提供了容易上手的統計學和貝葉斯新手指南。通過一個邏輯結構，逐步引入並建立關鍵概念，並逐漸使學生熟悉使用R和Stan軟體，本書涵蓋了以下內容：

- 概率和貝葉斯推斷的介紹
- 理解貝葉斯定理
- 貝葉斯分析方法的基本原理
- 計算貝葉斯和實際應用
- 迴歸分析和階層方法

這本獨特的指南將幫助學生發展統計自信和技能，從統計推斷的基本概念到複雜的分析應用，將貝葉斯公式付諸實踐。