Bayesian Nonparametrics (Springer Series in Statistics)
โ Scribed by J.K. Ghosh, R.V. Ramamoorthi
- Publisher
- Springer
- Year
- 2003
- Tongue
- English
- Leaves
- 319
- Series
- Springer Series in Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.
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<p><span>Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric