| English - Nederlands | ||||
| computercollectief | comcol.nl | |||
| computerboeken & software | computerboeken | |||
| home | producten | verwacht | koopjes | licenties | nieuwsbrief | dealer-info | contact | winkelwagen | ||
| zoeken | nieuw | thema's | acties | hoe bestellen | faq | winkels | over ons | afrekenen |
| computerboeken » pc » technische en wetenschappelijke software » r » r (windows, mac, unix) | ||
![]() | Bayesian Computation with RUse R!Springer | 2007 | 267 blz. | Jim Albert- Introduces Bayesian modeling by use of computation using the R language - Presents the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems - Several examples illustrate the use of R to interface with WinBUGS Tutorial for Users, Intermediate and Advanced Level onze prijs € 36,90 incl. BTW (€ 34,81 excl. BTW) — ISBN: 9780387713847 | 0387713840 |
|
Verzendkosten slechts € 1,95 (voor bestellingen boven de 20 euro in Nederland, daaronder € 4,95) | ||||
| dit artikel bestellen | naar de kassa | |||||||||
| Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The early chapters present the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems. Bayesian computational methods such as Laplace's method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation-based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order-restricted inference, and robust modeling. Algorithms written in R are used to develop Bayesian tests and assess Bayesian models by use of the posterior predictive distribution. The use of R to interface with WinBUGS, a popular MCMC computing language, is described with several illustrative examples. This book is a suitable companion book for an introductory course on Bayesian methods. Also the book is valuable to the statistical practitioner who wishes to learn more about the R language and Bayesian methodology. The LearnBayes package, written by the author and available from the CRAN website, contains all of the R functions described in the book. | ||
| soort artikel | computerboeken | ||
| ons bestelnummer | 14732-A1 | ||
| titel | Bayesian Computation with R | ||
| subtitel | Use R! | ||
| onderwerp | r (windows, mac, unix) | ||
| uitgever | Springer [SPR ] | ||
| website uitgever | www.springer.de | ||
| ISBN-13 | 978-0-387-71384-7 | 9780387713847 | ||
| ISBN-10 | 0-387-71384-0 | 0387713840 | ||
| gepubliceerd in | 2007 | ||
| geschreven door | Jim Albert | ||
| dit boek behandelt | US versie | ||
| taal van het boek | Engels US | ||
| aantal bladzijden | 267 | ||
| uitvoering | softcover | ||
| geïmporteerd door | Computercollectief BV | ||
| artikelcode fabrikant | 978-0-387-71384-7 | ||
| barcode | 9780387713847 |
| naar uitvoerig | compact overzicht | Nog 1 ander boek over r (windows, mac, unix) | ||
| verzendkosten - verkoopvoorwaarden - privacyverklaring | |||