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.
| Pages : | 210 pages |
| Size : | HTML and PDF (213 pages, 2.3 MB) |
| Downloads: | 22 |
| Created: | 2020-08-30 |
| License: | CC BY-NC 4.0 |
| Author(s): | Allen B. Downey |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/amp/article-amp.php on line 263
Others related eBooks about Think Bayes: Bayesian Statistics in Python
This is a collection of lectures on probability theory and mathematical statistics written by Marco Taboga, a professional financial economist with a passion for mathematics. It is offered as a free service to the mathematical community and provides an accessible introduction to topics that are no
This book follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical know
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
OpenIntro Statistics offers a traditional introduction to statistics at the college level...., download free OpenIntro Statistics tutorial in PDF (422 pages) created by David Diez .