Name: Bayesian Analysis With Excel and r (Addison-Wesley Data & Analytics) (en Inglés)
Price: 177.49 PEN
Availability: InStock
Author: Carlberg, Conrad
ISBN: 9780137580989

portada Bayesian Analysis With Excel and r (Addison-Wesley Data & Analytics) (en Inglés)

Formato

Libro Físico

Autor

Conrad Carlberg

Editorial

Addison-Wesley Professional

Idioma

Inglés

Encuadernación

Tapa Blanda

Dimensiones

23.2 x 17.8 x 1.0 cm

Peso

0.32 kg.

ISBN13

9780137580989

Categorías

Econometría
Hojas de cálculo
Data mining: minería de datos

Bayesian Analysis With Excel and r (Addison-Wesley Data & Analytics) (en Inglés)

Conrad Carlberg (Autor) · Addison-Wesley Professional · Tapa Blanda

Libro Físico

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S/ 354,97

Ahorras: S/ 177,49

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Bayesian Analysis With Excel and r (Addison-Wesley Data & Analytics) (en Inglés)"

Leverage the full power of Bayesian analysis for competitive advantage Bayesian 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. 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 essential--and when to use both in tandem