Bayesian Analysis with Excel and R

Language: English

Published by Pearson Education Nov 2022, 2022

0137580983 / 9780137580989

Series: Book 12 of 14 - Addison-Wesley Data & Analytics

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This item is printed on demand - Print on Demand Titel. Neuware -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 organizationand yourself.- Explore key ideas and strategies 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 essentialand when to use both in tandemLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 192 pp. Englisch.…

Seller Inventory # 9780137580989

Title
Bayesian Analysis with Excel and R
Author
Conrad Carlberg
Publisher
Pearson Education Nov 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0137580983
ISBN 13
9780137580989
Item weight
345 grams
Dimensions
235x178x11 mm
Series
Book 12 of 14: Addison-Wesley Data & Analytics

buchversandmimpf2000

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