Bayesian Essentials With R
Christian Robert
Reading Time
at 250 WPM5h 10m
The average reader, reading at a speed of 250 WPM, would take 5h 10m to read Bayesian Essentials With R.
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11
days at 30 min/day
310
total minutes
Bayesian Essentials With R
Published
2013
Publisher
Springer-Verlag New York Inc.
Pages
310
ISBN-13
9781461486862
Description
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. The stakes are high and the reader determines the outcome. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable.
Statistical decision theory and Bayesian analysis
The Signal and the Noise
Statistical decision theory, foundations, concepts, and methods
Statistical decision theory with business and economic applications
The advanced theory of statistics
The Theory That Would Not Die
Frequently Asked Questions
How many pages are in Bayesian Essentials With R?
This edition of Bayesian Essentials With R has approximately 310 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Bayesian Essentials With R?
For most readers, Bayesian Essentials With R typically takes between 6h 28m and 4h 18m to complete. This is based on the book's length of approximately 77,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 10m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 77,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Bayesian Essentials With R?
The estimated word count for Bayesian Essentials With R is approximately 77,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Bayesian Essentials With R?
Bayesian Essentials With R was written by Christian Robert.
When was Bayesian Essentials With R published?
The publication date for this specific edition is 2013. The original work may have been published on a different date.