Robust Bayesian clustering. Neural Networks, vol.20, pp.129-138, 2007. ,
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes, UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, pp.21-30, 1999. ,
A variational Bayesian framework for graphical models, Proc. Advances in Neural Information Processing Systems, vol.12, pp.209-215, 2000. ,
Model-Based Gaussian and Non-Gaussian Clustering, Biometrics, vol.49, issue.3, pp.803-821, 1993. ,
Variational algorithms for approximate Bayesian inference, 2003. ,
Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models, Statistics and Computing, vol.24, 2014. ,
A mixture of generalized hyperbolic distributions, Canadian Journal of Statistics, vol.43, issue.2, pp.176-198, 2015. ,
Gaussian parsimonious clustering models, Pattern Recognition, vol.28, issue.5, pp.781-793, 1995. ,
URL : https://hal.archives-ouvertes.fr/inria-00074643
Variational Bayesian Model Selection for Mixture Distributions, Proceedings Eighth International Conference on Artificial Intelligence and Statistics, p.2734, 2001. ,
Model-based clustering for expression data via a Dirichlet process mixture model, in Bayesian Inference for Gene Expression and Proteomics, 2006. ,
Multivariate Scale Mixture of Gaussians Modeling, Independent Component Analysis and Blind Signal Separation, vol.3889, pp.799-806, 2006. ,
Unsupervised learning of finite mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.3, pp.381-396, 2002. ,
An Algorithm for Simultaneous Orthogonal Transformation of Several Positive Definite Symmetric Matrices to Nearly Diagonal Form, SIAM Journal on Scientific and Statistical Computing, vol.7, issue.1, pp.169-184, 1986. ,
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweights: Application to robust clustering, Statistics and Computing, vol.24, issue.6, pp.971-984, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00823451
Unsupervised learning via mixtures of skewed distributions with hypercube contours, Pattern Recognition Letters, vol.58, pp.69-76, 2015. ,
Improved criteria for clustering based on the posterior similarity matrix, Bayesian Analysis, vol.4, issue.2, pp.367-391, 2009. ,
Finite mixture and Markov switching models, 2006. ,
A Hierarchical Eigenmodel for Pooled Covariance Estimation, Journal of the Royal Statistical Society. Series B (Statistical Methodology), vol.71, issue.5, pp.971-992, 2009. ,
, Continuous Univariate Distributions, vol.2, 1994.
Model-based clustering based on sparse finite Gaussian mixtures, Statistics and Computing, vol.26, issue.1, pp.303-324, 2016. ,
Variational Approximations in Bayesian Model Selection for Finite Mixture Distributions, Comput. Stat. Data Anal, vol.51, issue.11, pp.5352-5367, 2007. ,
On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion), Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.59, issue.4, pp.731-792, 1997. ,
Asymptotic behaviour of the posterior distribution in overfitted mixture models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.73, issue.5, pp.689-710, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00641475
mclust 5: clustering, classification and density estimation using Gaussian finite mixture models, The R Journal, vol.8, issue.1, pp.205-233, 2016. ,
Bayesian analysis of mixture models with an unknown number of components: an alternative to reversible jump methods, The Annals of Statistics, vol.28, issue.1, pp.40-74, 2000. ,
Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 1986. ,
Efficient Greedy Learning of Gaussian Mixture Models, Neural Computation, vol.15, issue.2, pp.469-485, 2003. ,
URL : https://hal.archives-ouvertes.fr/inria-00321487
Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering, Computational Statistics & Data Analysis, vol.90, pp.61-73, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01970565