000			nam a22 4500
999			_c114487 _d114487
003			OSt
005			20190514101515.0
008			190513b ||||| |||| 00| 0 eng d
020			_a9780521878265
040			_c
082			_a519.542 _bGHO
100			_aGhosal, Subhashis _938254
245			_aFundamentals of Nonparametric Bayesian Inference
260			_bCambridge University Press _c2017 _aNew York
300			_a646p
440			_aCambridge Series in Statistical and Probabilistic Mathematics _938255
500			_a1. Introduction 2. Priors on Function Spaces 3. Priors on Spaces of Probability Measures 4. Dirichlet Processes 5. Dirichlet Process Mixtures 6. Consistency: General Theory 7. Consistency: Examples 8. Contraction Rates: General Theory 9. Contraction Rates: Examples 10. Adaptation and Model Selection 11. Gaussian Process Priors 12. Infinite-Dimensional Bernstein–von Mises Theorem 13. Survival Analysis 14. Discrete Random Structures
600			_aNonparametric Statistics _938256
600			_aBayesian Statistical Decision Theory _938257
700			_aVaart, Aad Van Der _938258
942			_2ddc _cLB _k519.542 _mGHO