Books > Science & Mathematics > Mathematics > Probability & statistics
|
Buy Now
Bayesian Model Selection and Statistical Modeling (Paperback)
Loot Price: R1,959
Discovery Miles 19 590
|
|
Bayesian Model Selection and Statistical Modeling (Paperback)
Expected to ship within 12 - 17 working days
|
Along with many practical applications, Bayesian Model Selection
and Statistical Modeling presents an array of Bayesian inference
and model selection procedures. It thoroughly explains the
concepts, illustrates the derivations of various Bayesian model
selection criteria through examples, and provides R code for
implementation. The author shows how to implement a variety of
Bayesian inference using R and sampling methods, such as Markov
chain Monte Carlo. He covers the different types of
simulation-based Bayesian model selection criteria, including the
numerical calculation of Bayes factors, the Bayesian predictive
information criterion, and the deviance information criterion. He
also provides a theoretical basis for the analysis of these
criteria. In addition, the author discusses how Bayesian model
averaging can simultaneously treat both model and parameter
uncertainties. Selecting and constructing the appropriate
statistical model significantly affect the quality of results in
decision making, forecasting, stochastic structure explorations,
and other problems. Helping you choose the right Bayesian model,
this book focuses on the framework for Bayesian model selection and
includes practical examples of model selection criteria.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.