Bayesian Nonparametric Data Analysis
7
%
2510 Kč 2 700 Kč
Sleva až 70% u třetiny knih
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.
| Autor: | Mueller, Peter; Quintana, Fernando Andres; Jara, Alejandro; Hanson, Tim |
| Nakladatel: | Springer International Publishing AG |
| ISBN: | 9783319189673 |
| Rok vydání: | 2015 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 193 |
Mohlo by se vám také líbit..
-
Quick Reference Handbook for Surgica...
Rekhtman, MD, PhD, Natasha; Baine, MD, PhD, Marina K; Bishop, MD, Justin A.
-
Strategy in Airline Loyalty
De Boer, Evert R.
-
Atlas of Upper Extremity Trauma
Eglseder, W. Andrew
-
Rheumatology in Questions
Moutsopoulos, Haralampos M.; Zampeli, Evangelia; Vlachoyiannopoulos, Panayiotis G.
-
Clinical Cases in Cardiology
-
English for Presentations at Interna...
Adrian Wallwork
-
Plant Anatomy
Crang, Richard; Lyons-Sobaski, Sheila; Wise, Robert
-
Flowering Plants. Monocots
Judd, Walter S.; Campbell, Christopher S.; Kellogg, Elizabeth A.; Stevens, Peter F.; Donoghue, Michael J.
-
Cerebral Palsy
-
Writers and Their Mothers
-
European Civil Service in (Times of)...
Georgakakis, Didier
-
Gender-Based Violence
-
Concurrent Aerobic and Strength Trai...
-
Advanced Practice in Endocrinology N...
-
Lie Groups, Lie Algebras, and Repres...
Hall, Brian J
-
Endodontic Treatment, Retreatment, a...