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Prior processes and their applications: nonparametric Bayesian estimation
This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has been substantially expanded to reflect the curr...
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| Lenguaje: | eng |
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Springer
2016
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-32789-1 http://cds.cern.ch/record/2205667 |