A Student’s Guide to Bayesian Statistics - Brossura

Ben Lambert

Brossura

ISBN 10: 1473916364 ISBN 13: 9781473916364

Casa editrice: SAGE Publications Ltd, 2018

Riassunto

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.

Su questo libro

Informazioni sull'autore

Ben Lambert is a researcher at Imperial College London where he works on the epidemiology of malaria. He has worked in applied statistical inference for about a decade, formerly at the University of Oxford, and is the author of over 500 online lectures on econometrics and statistics. He also somewhat strangely went to school in Thomas Bayes’ home town for many years, Tunbridge Wells.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: SAGE Publications Ltd
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1473916364
• ISBN 13: 9781473916364
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 553
• Contatto del produttore: Sage Publications; https://knockknockstuff.com/; ; 22 Liuleburgaz Str., floor 4, app. 9; Plovdiv; 4000; Bulgaria