Bayesian Statistics by Peter M Lee
Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's well-established introduction maintains the clarity of exposition and use of examples for which this text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo's theory of reference points.
Lee's book provides a reasonable introduction to Bayesian statistics - December 2004 -- Significance - the Royal Statistical Society Maga
Peter M. Lee is Provost of Wentworth College, University of York, UK.
| SKU | Unavailable |
| ISBN 13 | 9780340814055 |
| ISBN 10 | 0340814055 |
| Title | Bayesian Statistics |
| Author | Peter M Lee |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | John Wiley and Sons Ltd |
| Year published | 2004-03-26 |
| Number of pages | 352 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |