Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems, The Annals of Statistics, pp.1152-1174, 1974. ,
Dirichlet process mixtures under affine transformations of the data, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01950652
Stochastic approximations to the Pitman-Yor process, Bayesian Analysis, 2018. ,
DOI : 10.1214/18-ba1127
URL : https://hal.archives-ouvertes.fr/hal-01950654
Approximating predictive probabilities of Gibbs-type priors, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01693333
Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics, Statistica Sinica, vol.27, pp.839-858, 2017. ,
DOI : 10.5705/ss.202015.250
URL : https://hal.archives-ouvertes.fr/hal-01203324
Bayesian optimal adaptive estimation using a sieve prior, Scandinavian Journal of Statistics, vol.40, issue.3, pp.549-570, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01203280
Full Bayesian inference with hazard mixture models, Computational Statistics & Data Analysis, vol.93, pp.359-372, 2016. ,
DOI : 10.1016/j.csda.2014.12.003
URL : https://hal.archives-ouvertes.fr/hal-01203296
Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel contaminated soil, Ecology and Evolution, vol.5, issue.13, pp.2633-2645, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01203289
Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity, Annals of Applied Statistics, vol.10, issue.3, pp.1496-1516, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01203345
A moment-matching Ferguson & Klass algorithm, Statistics and Computing, vol.27, issue.1, pp.3-17, 2017. ,
DOI : 10.1007/s11222-016-9676-8
URL : https://hal.archives-ouvertes.fr/hal-01396587
Modeling with normalized random measure mixture models, Statistical Science, vol.28, issue.3, pp.313-334, 2013. ,
Latent Dirichlet allocation, Journal of machine Learning research, vol.3, pp.993-1022, 2003. ,
Generalized gamma measures and shot-noise Cox processes, Advances in Applied Probability, pp.929-953, 1999. ,
Power-law distributions in empirical data, SIAM review, vol.51, issue.4, pp.661-703, 2009. ,
, References III
Model-based clustering for expression data via a Dirichlet process mixture model. Bayesian inference for gene expression and proteomics, pp.201-218, 2006. ,
Are Gibbs-type priors the most natural generalization of the Dirichlet process? Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.37, issue.2, pp.212-229, 2015. ,
The sampling theory of selectively neutral alleles, Theoretical population biology, vol.3, issue.1, pp.87-112, 1972. ,
A Bayesian analysis of some nonparametric problems, The Annals of Statistics, vol.1, issue.2, pp.209-230, 1973. ,
A representation of independent increment processes without gaussian components, The Annals of Mathematical Statistics, vol.43, issue.5, pp.1634-1643, 1972. ,
Infinite latent feature models and the Indian buffet process, Advances in neural information processing systems, pp.475-482, 2006. ,
Gibbs sampling methods for stick-breaking priors, Journal of the American Statistical Association, vol.96, issue.453, pp.161-173, 2001. ,
DPpackage: Bayesian non-and semi-parametric modelling in R, Journal of statistical software, vol.40, issue.5, p.1, 2011. ,
A simple proof of Pitman-Yor's Chinese restaurant process from its stick-breaking representation, 2018. ,
Bayesian Nonparametric Priors for Hidden Markov Random Fields, 2018. ,
On the sub-Gaussianity of the Beta and Dirichlet distributions, Electronic Communications in Probability, vol.22, pp.1-14, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01521300
Comparing clusterings-an information based distance, Journal of Multivariate Analysis, vol.98, issue.5, pp.873-895, 2007. ,
A simple example of Dirichlet process mixture inconsistency for the number of components, Advances in neural information processing systems, pp.199-206, 2013. ,
Approximating distributions of random functionals of ferguson-dirichlet priors, Canadian Journal of Statistics, vol.26, issue.2, pp.283-297, 1998. ,
Markov chain sampling methods for Dirichlet process mixture models, Journal of computational and graphical statistics, vol.9, issue.2, pp.249-265, 2000. ,
Power laws, Pareto distributions and Zipf's law. Contemporary physics, vol.46, pp.323-351, 2005. ,
Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models, Biometrika, vol.95, issue.1, p.169, 2008. ,
Analysis of MAP in CRP Normal-Normal model, 2016. ,
A constructive definition of Dirichlet priors, Statistica Sinica, vol.4, pp.639-650, 1994. ,
Hierarchical Dirichlet processes, Journal of the American Statistical Association, vol.101, issue.476, pp.1566-1581, 2006. ,
Bayesian cluster analysis: Point estimation and credible balls, Bayesian Analysis, 2018. ,
Sampling the dirichlet mixture model with slices, Communications in Statistics-Simulation and Computation R, vol.36, issue.1, pp.45-54, 2007. ,