Bayesian Analysis with Excel and R – Ebook PDF Instant Delivery – ISBN(s): 9780137580989,0137580983
Product details:
- ISBN-13: 978-0137580989
- Author:
- Leverage the full power of Bayesian analysis for competitive advantageBayesian methods can solve problems you can’t reliably handle any other way. Building on your existing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excel’s Bayesian capabilities and move toward R to do even more.
Step by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. Carlberg clarifies terminology that often bewilders analysts, and offers sample R code to take advantage of the rethinking package in R and its gateway to Stan.
As you incorporate these Bayesian approaches into your analytical toolbox, you’ll build a powerful competitive advantage for your organization—and yourself.
Table of contents:
Chapter 1 Bayesian Analysis and R: An Overview
Chapter 2 Generating Posterior Distributions with the Binomial Distribution
Chapter 3 Understanding the Beta Distribution
Chapter 4 Grid Approximation and the Beta Distribution
Chapter 5 Grid Approximation with Multiple Parameters
Chapter 6 Regression Using Bayesian Methods
Chapter 7 Handling Nominal Variables
Chapter 8 MCMC Sampling Methods
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