How long does it take to read Bayesian Data Analysis?
Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, David B. Dunson, Aki Vehtari
Bayesian Data Analysis by Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, David B. Dunson, Aki Vehtari takes about 12 hours 15 minutes to read at 250 words a minute.
About 12 hours 15 minutes
A week or two of reading
First published 1995. 668 pages, about 183,700 words.
25 days at 30 minutes a day
Estimate based on 275 words per page.
At other speeds
| Slow, 150 words a minute | 20 hours 25 minutes |
| Average, 250 words a minute | 12 hours 15 minutes |
| Fast, 400 words a minute | 7 hours 39 minutes |
The page count is the median across 14 editions, so your copy may differ. How we calculate.
About the book
"Bayesian Data Analysis is a comprehensive treatment of the statistical analysis of data from a Bayesian perspective. Modern computational tools are emphasized, and inferences are typically obtained using computer simulations.". "The principles of Bayesian analysis are described with an emphasis on practical rather than theoretical issues, and illustrated using actual data. A variety of models are considered, including linear regression, hierarchical (random effects) models, robust models, generalized linear models and mixture models.". "Two important and unique features of this text are thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis." "Issues of data collection, model formulation, computation, model checking and sensitivity analysis are all considered. The student or practising statistician will find that there is guidance on all aspects of Bayesian data analysis."--BOOK JACKET.
Subjects: Bayesian statistical decision theory, Mathematical statistics, Mathematics, Probability & statistics, Bayes Theorem, Probability Theory
