|
|
|
Bayes' Rule With Python: A Tutorial Introduction to Bayesian Analysis
|
(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!
| Lieferstatus: |
 i.d.R. innert 7-14 Tagen versandfertig |
| Veröffentlichung: |
Oktober 2016
|
| Genre: |
Schulbücher |
| ISBN: |
9780993367939 |
|
EAN-Code:
|
9780993367939 |
| Verlag: |
Jim Stone |
| Einband: |
Kartoniert |
| Sprache: |
English
|
| Dimensionen: |
H 229 mm / B 152 mm / D 11 mm |
| Gewicht: |
282 gr |
| Seiten: |
188 |
| Zus. Info: |
Paperback |
| Bewertung: |
Titel bewerten / Meinung schreiben
|
| Inhalt: |
| Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this book includes Python (3.0) code snippets, which reproduce key numerical results and diagrams. |
|
Newsfeed | 
Facebook | 
Twitter
