Fetching the paper…
Reading the bibliography…
We develop a general class of Bayesian repulsive Gaussian mixture models that encourage well-separated clusters, aiming at reducing potentially redundant components produced by independent priors for locations (such as the Dirichlet process).
On Bayes procedures
Schwartz, L. (1965) · 1965
Earlier work this paper cites.
Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
Antoniak, C. E. (1974) · 1974
Earlier work this paper cites.
Density estimation for statistics and data analysis
Silverman, B. W. (1986) · 1986
Earlier work this paper cites.
The conditional predictive ordinate for the normal distribution
Pettit, L. (1990) · 1990
Earlier work this paper cites.
Bayesian analysis of finite mixture distributions
Nobile, A. (1994) · 1994
Earlier work this paper cites.
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
Green, P. J. (1995) · 1995
Earlier work this paper cites.
Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
Wong, W. H. and Shen, X. (1995) · 1995
Earlier work this paper cites.
Estimating mixture of Dirichlet process models
MacEachern, S. N. and Mueller, P. (1998) · 1998
Earlier work this paper cites.
Robustness properties of k-means and trimmed k-means
Garcia-Escudero, L. A. and Gordaliza, A. (1999) · 1999
Earlier work this paper cites.
Posterior consistency of Dirichlet mixtures in density estimation
Ghosal, S., Ghosh, J. K., Ramamoorthi, R., et al. (1999) · 1999
Earlier work this paper cites.
Convergence rates of posterior distributions
Ghosal, S., Ghosh, J. K., and Van Der Vaart, A. W. (2000) · 2000
Earlier work this paper cites.
Markov chain sampling methods for Dirichlet process mixture models
Neal, R. M. (2000) · 2000
Cited alongside, same era.
Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities
Ghosal, S. and Van Der Vaart, A. W. (2001) · 2001
Cited alongside, same era.
Gibbs sampling methods for stick-breaking priors
Ishwaran, H. and James, L. F. (2001) · 2001
Cited alongside, same era.
Approximate Dirichlet process computing in finite normal mixtures: smoothing and prior information
Ishwaran, H. and James, L. F. (2002) · 2002
Cited alongside, same era.
Model-based clustering for expression data via a Dirichlet process mixture model
Dahl, D. B. (2006) · 2006
Cited alongside, same era.
Sampling the Dirichlet mixture model with slices
Walker, S. G. (2007) · 2007
Repulsive mixtures
Petralia, F., Rao, V., and Dunson, D. B. (2012) · 2012
Later among the works it cites.
A simple example of Dirichlet process mixture inconsistency for the number of components
Miller, J. W. and Harrison, M. T. (2013) · 2013
Later among the works it cites.
Maximum Lq-likelihood estimation via the expectation-maximization algorithm: a robust estimation of mixture models
Qin, Y. and Priebe, C. E. (2013) · 2013
Later among the works it cites.
Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
Shen, W., Tokdar, S. T., and Ghosal, S. (2013) · 2013
Later among the works it cites.
On choosing mixture components via non-local priors
Fuquene, J., Steel, M., and Rossell, D. (2016) · 2016
Later among the works it cites.
Mixture models with a prior on the number of components
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
On rates of convergence for posterior distributions in infinite-dimensional models
Walker, S. G., Lijoi, A., Pruenster, I., et al. (2007) · 2007
Cited alongside, same era.
Kullback Leibler property of kernel mixture priors in Bayesian density estimation
Wu, Y., Ghosal, S., et al. (2008) · 2008
Cited alongside, same era.
Adaptive Bayesian density estimation with location-scale mixtures
Kruijer, W., Rousseau, J., Van Der Vaart, A., et al. (2010) · 2010
Cited alongside, same era.
The L1-consistency of Dirichlet mixtures in multivariate Bayesian density estimation
Wu, Y. and Ghosal, S. (2010) · 2010
Cited alongside, same era.
Posterior rates of convergence for Dirichlet mixtures of exponential power densities
Scricciolo, C. et al. (2011) · 2011
Cited alongside, same era.
Miller, J. W. and Harrison, M. T. (2016) · 2016
Later among the works it cites.
Bayesian inference for latent biologic structure with determinantal point processes (DPP)
Xu, Y., Mueller, P., and Telesca, D. (2016) · 2016
Later among the works it cites.
Posterior asymptotics of nonparametric location-scale mixtures for multivariate density estimation
Canale, A., De Blasi, P., et al. (2017) · 2017
Closest in time.
Consistency of the mle under mixture models
Chen, J. et al. (2017) · 2017
Closest in time.
Parsimonious hierarchical modeling using repulsive distributions
Quinlan, J. J., Quintana, F. A., and Page, G. L. (2017) · 2017
Closest in time.