Bayesian Analysis with Excel and R

[LeeAndro]

English | 2022 | ISBN: 9780137580934 | 185 pages | True EPUB,MOBI | 15.8 MB

Bayesian methods can solve problems you can't reliably handle any other way.​

Now, 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 teology that often bewilders analysts, provides able Excel workbooks you can easily adapt to your own needs, 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 powerful competitive advantage for your organization-and yourself.

Explore key ideas and strats that underlie Bayesian analysis

Distinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputs

Use grid approximation to solve simple univariate problems, and understand its limits as parameters increase

Perform complex simulations and regressions with quadratic approximation and Richard McElreath's quap function

Manage text values as if they were numeric

Learn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC)

Use MCMC to optimize execution speed in high-complexity problems

Discover when frequentist methods fail and Bayesian methods are essential-and when to use both in tandem



DOWNLOAD

https://1dl.net/rezd4xzfvn9r/gyQlYx9h_Bayesian_An.rar.html