How Long to Read Understanding Computational Bayesian Statistics

How Long Does it Take to Read Understanding Computational Bayesian Statistics?

It takes the average reader 5 hours and 44 minutes to read Understanding Computational Bayesian Statistics by William M. Bolstad

Assuming a reading speed of 250 words per minute. Learn more

Description

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach. With its hands-on treatment of the topic, the book shows how samples can be drawn from the posterior distribution when the formula giving its shape is all that is known, and how Bayesian inferences can be based on these samples from the posterior. These ideas are illustrated on common statistical models, including the multiple linear regression model, the hierarchical mean model, the logistic regression model, and the proportional hazards model. The book begins with an outline of the similarities and differences between Bayesian and the likelihood approaches to statistics. Subsequent chapters present key techniques for using computer software to draw Monte Carlo samples from the incompletely known posterior distribution and performing the Bayesian inference calculated from these samples. Topics of coverage include: Direct ways to draw a random sample from the posterior by reshaping a random sample drawn from an easily sampled starting distribution The distributions from the one-dimensional exponential family Markov chains and their long-run behavior The Metropolis-Hastings algorithm Gibbs sampling algorithm and methods for speeding up convergence Markov chain Monte Carlo sampling Using numerous graphs and diagrams, the author emphasizes a step-by-step approach to computational Bayesian statistics. At each step, important aspects of application are detailed, such as how to choose a prior for logistic regression model, the Poisson regression model, and the proportional hazards model. A related Web site houses R functions and Minitab macros for Bayesian analysis and Monte Carlo simulations, and detailed appendices in the book guide readers through the use of these software packages. Understanding Computational Bayesian Statistics is an excellent book for courses on computational statistics at the upper-level undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners who use computer programs to conduct statistical analyses of data and solve problems in their everyday work.

How long is Understanding Computational Bayesian Statistics?

Understanding Computational Bayesian Statistics by William M. Bolstad is 336 pages long, and a total of 86,016 words.

This makes it 113% the length of the average book. It also has 105% more words than the average book.

How Long Does it Take to Read Understanding Computational Bayesian Statistics Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 50 minutes to read Understanding Computational Bayesian Statistics aloud.

What Reading Level is Understanding Computational Bayesian Statistics?

Understanding Computational Bayesian Statistics is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Understanding Computational Bayesian Statistics?

Understanding Computational Bayesian Statistics by William M. Bolstad is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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