Leader00779nam a2200253 i 4500
008191113 2019 lv 00000 lav
020 a: 9781473916364
040 a: LB
041 a: eng
080 a: 330.4
1001#a: Lambert, Ben4: aute: Autors
2451 a: A Student's Guide to Bayesian Statistics
264#1a: Londonsb: SAGEc: 2018
300 a: 498 p.
336##a: tekstsb: txt
337##a: tiešuztveres videb: n
338##a: sējumsb: nc
650 4a: statistics
996##a: BA


Location Address Count Shelf Status
Monetārās politikas pārvalde 07 1 330.4 On a shelf Available to order


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.

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