Think Bayes : Bayesian Statistics in Python (Paperback)

Allen B. Downey

Think Bayes : Bayesian Statistics in Python (Paperback)

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商品描述

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.

商品描述(中文翻譯)

如果你已經懂得使用Python程式語言並對機率有一些了解，那麼你就準備好學習貝葉斯統計了。這本書將教你如何使用Python程式碼解決統計問題，而不是使用數學符號，並使用離散概率分佈而不是連續數學。一旦你掌握了數學，貝葉斯基礎將變得更清晰，你將開始將這些技術應用於實際問題。

貝葉斯統計方法越來越常見且越來越重要，但初學者很少有資源可供參考。這本書基於作者Allen Downey所教授的本科課程，以計算方法幫助你打下堅實的基礎。

本書的特點如下：
- 利用你現有的程式設計技能來學習和理解貝葉斯統計
- 解決涉及估計、預測、決策分析、證據和假設檢驗等問題
- 從簡單的例子入手，例如使用硬幣、彩色糖果、龍與地下城骰子、彈珠和曲棍球等
- 學習解決現實世界問題的計算方法，例如解讀SAT成績、模擬腎腫瘤和建模人體微生物群落。

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