An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression, The American Statistician, vol.26, issue.3, pp.175-185, 1992. ,
DOI : 10.1080/01621459.1975.10479865
Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems, The Annals of Statistics, vol.2, issue.6, pp.1152-1174, 1974. ,
DOI : 10.1214/aos/1176342871
Hierarchical models for assessing variability among functions, Biometrika, vol.92, issue.2, pp.419-434, 2005. ,
DOI : 10.1093/biomet/92.2.419
Random fragmantation and coagulation processes, 2006. ,
DOI : 10.1017/cbo9780511617768
Posterior simulation across nonparametric models for functional clustering, AJournal of the Royal Statistical Society, Series B, 1992. ,
Ferguson Distributions Via Polya Urn Schemes, The Annals of Statistics, vol.1, issue.2, pp.353-355, 1973. ,
DOI : 10.1214/aos/1176342372
Variational inference for Dirichlet process mixtures, Bayesian Analysis, vol.1, issue.1, pp.121-144, 2005. ,
DOI : 10.1214/06-BA104
Latent Dirichlet allocation, Journal of Machine Learning Research, vol.3, pp.993-1022, 2003. ,
Estimation of the Stochastic Volatility of a Diffussion Process I. Comparison of Haar basis Estimator and Kernel Estimators, 1996. ,
A semiparametric Bayesian model for randomised block designs, Biometrika, vol.83, pp.275-285, 1996. ,
Semiparametric Bayes analysis of longitudinal data treatment models, Journal of Econometrics, vol.110, issue.1, pp.67-89, 2002. ,
DOI : 10.1016/S0304-4076(02)00122-7
Choosing a Kernel Regression Estimator, Statistical Science, vol.6, issue.4, pp.404-419, 1991. ,
DOI : 10.1214/ss/1177011586
Some new results for Dirichlet priors, Journal of the American Statistical Association. Ann. Statist, vol.28, pp.1390-1413, 2000. ,
Problemi Statistici Non Parametrici in Condizioni di Scambiabilit' a Parziale e Impiego di Medie Associative, Tech. rep, 1978. ,
Distribution Functions of Means of a Dirichlet Process, The Annals of Statistics, vol.18, issue.1, pp.429-442, 1990. ,
DOI : 10.1214/aos/1176347509
Modeling differential gene expression using a Dirichlet Process mixture model Bayesian Statistical Sciences Section, Proceedings of the American Statistical Association, 2003. ,
Risk Minimizing Option Pricing in a Regime Switching Market, Stochastic Analysis and Applications, vol.44, issue.2, 2007. ,
DOI : 10.1023/A:1024795626350
An ANOVA Model for Dependent Random Measures, Journal of the American Statistical Association, vol.99, issue.465, pp.205-215, 2004. ,
DOI : 10.1198/016214504000000205
The Tails of Probabilities Chosen From A Dirichlet Prior, The Annals of Statistics, vol.10, issue.4, pp.1302-1305, 1982. ,
DOI : 10.1214/aos/1176345996
Bayesian dynamic modeling of latent trait distributions, Bio-statistics, vol.7, pp.551-568, 2006. ,
Generalized Spatial Dirichlet Process Models, Biometrika, vol.94, issue.4, 2007. ,
DOI : 10.1093/biomet/asm071
Kernel stick-breaking processes, Institute of Statistics and Decision Sciences -Duke Uni- versity, 2007. ,
DOI : 10.1093/biomet/asn012
Bayesian density regression, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.12, issue.2, pp.163-183, 2007. ,
DOI : 10.1111/j.1467-9868.2004.05564.x
Classification et m??langes de processus, Comptes Rendus Mathematique, vol.335, issue.2, pp.189-193, 2001. ,
DOI : 10.1016/S1631-073X(02)02432-9
Random distributions in image analysis, 2005. ,
Process of random distributions, Afrika Stat, vol.1, issue.1, pp.27-46, 2005. ,
Estimating Normal Means with a Dirichlet Process Prior, Journal of the American Statistical Association, vol.2, issue.425, pp.268-277, 1994. ,
DOI : 10.2307/2347988
Bayesian Density Estimation and Inference Using Mixtures, Journal of the American Statistical Association, vol.55, issue.430, pp.577-588, 1995. ,
DOI : 10.1080/01621459.1987.10478458
Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions, Journal of the American Statistical Association, vol.61, issue.429, pp.141-150, 1995. ,
DOI : 10.1137/1.9781611970128
A Bayesian Analysis of Some Nonparametric Problems, The Annals of Statistics, vol.1, issue.2, pp.209-230, 1973. ,
DOI : 10.1214/aos/1176342360
Prior Distributions on Spaces of Probability Measures, The Annals of Statistics, vol.2, issue.4, pp.615-629, 1974. ,
DOI : 10.1214/aos/1176342752
Bayesian density estimation by mixtures of normal distributions, 1983. ,
On the Interpretation of ?? 2 from Contingency Tables, and the Calculation of P, Journal of the Royal Statistical Society, vol.85, issue.1, pp.87-94, 1974. ,
DOI : 10.2307/2340521
Order-Based Dependent Dirichlet Processes, Journal of the American Statistical Association, vol.101, issue.473, pp.179-194, 2006. ,
DOI : 10.1198/016214505000000727
Modelling Heterogeneity With and Without the Dirichlet Process, Scandinavian Journal of Statistics, vol.28, issue.2, pp.355-375 ,
DOI : 10.1111/1467-9469.00242
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior, Journal of Machine Learning Research, vol.6, issue.1, pp.1551-1577, 2005. ,
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior, 2005. ,
Approximate Dirichlet processes computing in finite normal mixtures: smoothing and prior information, J. Comp. Graph. Stat, vol.11, pp.209-230, 2002. ,
Bayesian Model Selection in Finite Mixtures by Marginal Density Decompositions, Journal of the American Statistical Association, vol.96, issue.456, 2000. ,
DOI : 10.1198/016214501753382255
Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models, Biometrika, vol.87, issue.2, pp.1-28, 2000. ,
DOI : 10.1093/biomet/87.2.371
Generalized weighted Chinese restaurant processes for species sampling mixture models, Statistica Sinica, vol.13, pp.1211-1235, 2003. ,
Generalized Spatial Dirichlet Process Models, Biometrika, vol.94, issue.4, pp.809-825, 2007. ,
DOI : 10.1093/biomet/asm071
A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model, Journal of Computational and Graphical Statistics, vol.13, issue.1, 2000. ,
DOI : 10.1198/1061860043001
A New Class of Bayesian Semiparametric Models with Applications to Option Pricing, SSRN Electronic Journal, 2003. ,
DOI : 10.2139/ssrn.416583
Approximate Dirichlet processes computing in finite normal. Royal statistical society section B, 1974. ,
Random discrete Dis- tributions, 2002. ,
A computational approach for full nonparametric Bayesian inference under Dirichlet process mixture models, Journal of Computational and Graphical Statistics, 2002. ,
Modeling Disease Incidence Data with Spatial and Spatio Temporal Dirichlet Process Mixtures, Biometrical Journal, vol.92, issue.1, pp.1-14, 2007. ,
DOI : 10.1002/bimj.200610375
A hierarchical Bayes model for multilocation auditing, Journal of the Royal Statistical Society: Series D (The Statistician), vol.75, issue.4, pp.431-450, 1975. ,
DOI : 10.1111/1467-9876.00213
On a Class of Bayesian Nonparametric Estimates: I. Density Estimates, The Annals of Statistics, vol.12, issue.1, pp.351-357, 1984. ,
DOI : 10.1214/aos/1176346412
A constructive definition of Dirichlet priors, Statistica Sinica, vol.4, pp.639-650, 1994. ,
Bayesian Density Estimation and Inference Using Mixtures, Journal of the American Statistical Association, vol.90, pp.577-588, 1994. ,
Convergence of Dirichlet Measures and the Interpretation of Their Parameters. Statistical Decision Theory and Related Topics III, pp.305-315, 1982. ,
Classification of histograms, 2004. ,
Classification of Internet flows, 2004. ,
Classification of Internet flows, 2004. ,
Estimating normal means with a conjugate style dirichlet process prior, Communications in Statistics - Simulation and Computation, vol.34, issue.3, pp.727-741, 1994. ,
DOI : 10.1017/CBO9780511526237
Dependent nonparametric processes, ASA Proceed-ings of the Section on Bayesian Statistical Science, pp.50-55, 1999. ,
Dependent Dirichlet processes, Tech. rep, 1999. ,
Model for the Distribution of Individuals by Species in an Environment, 1965. ,
A method for combining inference across related nonparametric Bayesian models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.22, issue.3, pp.735-749, 1998. ,
DOI : 10.1214/aos/1031594741
Bayesian infinite mixture model based clustering of gene expression profiles, Bioinformatics, vol.18, issue.9, pp.1194-1206, 2002. ,
DOI : 10.1093/bioinformatics/18.9.1194
Wavelet-based functional mixed models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.93, issue.2, pp.179-199, 2002. ,
DOI : 10.1198/016214502388618672
Urn Models and Their Application: An Approach to Modern Discrete Probability Theory., Biometrics, vol.34, issue.3, p.501, 1978. ,
DOI : 10.2307/2530628
Density Modeling and Clustering Using Dirichlet Diffusion Trees, BAYESIAN STATISTICS, vol.7, pp.619-629, 1996. ,
Practical Bayesian Density Estimation Using Mixtures of Normals, Journal of the American Statistical Association, vol.22, issue.439, pp.894-902, 1997. ,
DOI : 10.1080/01621459.1997.10474044
Gibbs sampling for Bayesian nonconjugate and hierarchical models using auxiliary variables, Journal of the Royal Statistical Society Series B, vol.61, pp.331-344 ,
Random Discrete Distributions Derived from Self-Similar Random Sets, Electronic Journal of Probability, vol.1, issue.0, pp.1-28, 1996. ,
DOI : 10.1214/EJP.v1-4
The two-parameter Poisson-Dirichlet distribution derived from stable subordiantors, Ann. Proba, vol.25, issue.2, pp.855-900, 1997. ,
Poisson-Kingman partitions, Lecture Notes -Monograph Series Lecture Notes -Monograph Series, vol.30, issue.30, pp.1-34, 2003. ,
DOI : 10.1214/lnms/1215091133
Local Polynomial Mixed-Effects Models for Longitudinal Data, Journal of the American Statistical Association, vol.97, issue.459, 2002. ,
DOI : 10.1198/016214502388618672
Va hospital quality monitors: 1988-1997, 2003. ,