| 000 | 02439nam a2200349 4500 | ||
|---|---|---|---|
| 001 | OTLid0000288 | ||
| 003 | MnU | ||
| 005 | 20201105133313.0 | ||
| 006 | m o d s | ||
| 008 | 180907s2012 mnu o 0 0 eng d | ||
| 020 | _a9781449370787 | ||
| 040 |
_aMnU _beng _cMnU |
||
| 050 | 4 | _aQA76 | |
| 100 | 1 |
_aDowney, Allen B. _eauthor |
|
| 245 | 0 | 0 |
_aThink Bayes _bBayesian Statistics Made Simple _cAllen Downey |
| 264 | 2 | _bOpen Textbook Library | |
| 264 | 1 | _bGreen Tea Press | |
| 300 | _a1 online resource | ||
| 490 | 0 | _aOpen textbook library. | |
| 505 | 0 | _aPreface -- 1 Bayes's Theorem -- 2 Computational Statistics -- 3 Estimation -- 4 More Estimation -- 5 Odds and Addends -- 6 Decision Analysis -- 7 Prediction -- 8 Observer Bias -- 9 Two Dimensions -- 10 Approximate Bayesian Computation -- 11 Hypothesis Testing -- 12 Evidence -- 13 Simulation -- 14 A Hierarchical Model -- 15 Dealing with Dimensions | |
| 520 | 0 | _aThink Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. I think this presentation is easier to understand, at least for people with programming skills. It is also more general, because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems. | |
| 542 | 1 | _fAttribution-NonCommercial | |
| 546 | _aIn English. | ||
| 588 | 0 | _aDescription based on online resource | |
| 650 | 0 |
_aComputer Science _vTextbooks |
|
| 710 | 2 |
_aOpen Textbook Library _edistributor |
|
| 856 | 4 | 0 |
_uhttps://open.umn.edu/opentextbooks/textbooks/288 _zAccess online version |
| 999 |
_c19688 _d19688 |
||