Home » Student’s Guide to Bayesian Statistics
Product Image

Student’s Guide to Bayesian Statistics

Ben Lambert
€190.96
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Ben Lambert
Age Group_Uncategorized
Age Group_Uncategorized
Analysis Bayesian
Author_Ben Lambert
automatic-update
Bayesian Analysis
Bayesian Analytics
Bayesian Data analysis
Bayesian introduction
Bayesian methods
Bayesian Statistics
Bayesian Statistics introduction
Bayesian theory
Category1=Non-Fiction
Category=PBTB
COP=United Kingdom
Delivery_Delivery within 10-20 working days
eq_isMigrated=2
eq_nobargain
Language_English
PA=Available
Price_€100 and above
PS=Active
softlaunch

Product details

  • ISBN 9781473916357
  • Weight: 1180g
  • Dimensions: 189 x 246mm
  • Publication Date: 04 May 2018
  • Publisher: SAGE Publications Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns
Description

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.
About Ben Lambert
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.

More from this author