- Bücher
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- Hierarchische Modelle mit Normalverteilungsannahme
- (03) Efron und Morris (1975). Data analysis using Stein’s estimator and its generalizations, JASA 70:311-319.
- (04) Abramovich, Sapatinas und Silverman (1998). Wavelet thresholding via a Bayesian approach, JRSSB, 60: 725-749.
- Parametrische Modelle: Konsistenz
- (05) Diaconis und Freedman (1986). On the consistency of Bayes estimates, AoS, 14:1-26.
- Nichtparametrische Bayessche Statistik
- (06) Ferguson (1974). Prior distributions on spaces of probability measures, AoS, 2:615-629.
- (07) Antoniak (1974). Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems, AoS, 2:1152-1174.
- (08) Sethuramn (1994). A constructive definition of Dirichlet Priors, Statistica Sinica 4:639-650
- (09) Teh und Jordan (2010). Hierarchical Bayesian nonparametric models with applications, in N. Hjort, C. Holmes, P. Mueller, und S. Walker (Eds.), Bayesian Nonparametrics: Principles and Practice, UK: Cambridge University Press.
- (10) Efron (2015). The Bayes deconvolution problem
- Bayessches maschinelles Lernen
- (11) Escobar und West (1995). Bayesian density estimation and inference using mixtures, JASA, 90:577-588.
- (12) Blei, Ng und Jordan (2003). Latent Dirichlet Allocation, Journal of Machine Learning Research 3:993-1022.