Average Reviews:
(More customer reviews)I was recommended this (very expensive!) book for supervised reading on graphical models by my university supervisor in statistics. As a physician who might have liked to be a statistician in another life I found it thorough but (very) challenging. If you want lemmas & proofs this is where you will get them! If you want end user example material there is some but less than I would like. From the style I think the author would have been an excellent lecturer and the book reads as if a collected lecture series which I think it was. The index, although very helpful, could do with a re-revision (for example deviance is introduced way before its indexed first entry) and the book precedes the availability of more modern computerized graphical model search programs.. To be fair the author does show that you can create an individualized study program by skipping around chapters but this would be helped my making each module more self contained . If it was reissued making these sorts of changes and the price was reduced it could be a best seller (well for people interested in graphical models!)
Click Here to see more reviews about: Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability & Statistics)
Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. Following the theorem-proof-remarks format, this introduction to the use of graphical models in the description and modeling of multivariate systems covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. Many numerical examples and exercises with solutions are included.
Buy cheap Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability & Statistics) now.
No comments:
Post a Comment