Aktuāli:
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AUTORS
Lambert, Ben
NOSAUKUMS
A Student's Guide to Bayesian Statistics
APJOMS
498 p.
TEMATI
statistics
ISBN
9781473916364
UDK INDEKSS
330.4
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| Fonds | Adrese | Skaits | Plaukts | Pieejamība | |
|---|---|---|---|---|---|
| Monetārās politikas pārvalde | 07 | 1 | 330.4 | Plauktā | Var pasūtīt |
Anotācija
Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics.
Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers:
- An introduction to probability and Bayesian inference
- Understanding Bayes′ rule
- Nuts and bolts of Bayesian analytic methods
- Computational Bayes and real-world Bayesian analysis
- Regression analysis and hierarchical methods
This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.