Tell your friends about this item:
Fundamentals of Nonparametric Bayesian Inference - Cambridge Series in Statistical and Probabilistic Mathematics Ghosal, Subhashis (North Carolina State University)
Fundamentals of Nonparametric Bayesian Inference - Cambridge Series in Statistical and Probabilistic Mathematics
Ghosal, Subhashis (North Carolina State University)
Written by top researchers, this self-contained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and biostatistics. Appendices with prerequisites and numerous exercises support its use for graduate courses.
670 pages, 15 b/w illus.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 26, 2017 |
| ISBN13 | 9780521878265 |
| Publishers | Cambridge University Press |
| Pages | 670 |
| Dimensions | 328 × 186 × 46 mm · 1.42 kg |
| Language | English |