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Fundamentals of Nonparametric Bayesian Inference - Cambridge Series in Statistical and Probabilistic Mathematics Ghosal, Subhashis (North Carolina State University)
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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.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2017. gada 26. jūnijs |
| ISBN13 | 9780521878265 |
| Izdevēji | Cambridge University Press |
| Lapas | 670 |
| Izmēri | 328 × 186 × 46 mm · 1,42 kg |
| Valoda | Angļu |
