Think Bayes: Bayesian Statistics in Python

By:

Downey, Allen

Material type: Book

BookPublication details: Mumbai Shroff Publishers & Distributors Pvt. Ltd. 2021Edition: Second editionDescription: xv, 190 pagesISBN:

9781449370787
1449370780
9789391043445

Subject(s):

DDC classification:

005.74015 DOW

Summary: If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than 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 there aren't many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems

List(s) this item appears in: New Arrivals December 2023

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Main Library Analytics	005.74015 DOW (Browse shelf(Opens below))	Available		119088

If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than 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 there aren't many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid start.

Use your programming skills to learn and understand Bayesian statistics
Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing
Get started with simple examples, using coins, dice, and a bowl of cookies
Learn computational methods for solving real-world problems

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