Pages that link to "Item:Q4844191"

The following pages link to Bayesian Density Estimation and Inference Using Mixtures (Q4844191):

Displaying 50 items.

• Discussion of ``Nonparametric Bayesian inference in applications'': Bayesian nonparametric methods in econometrics (Q1663604) (← links)
• Computational challenges and temporal dependence in Bayesian nonparametric models (Q1663607) (← links)
• Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility (Q1672741) (← links)
• Semiparametric Bayesian inference for accelerated failure time models with errors-in-covariates and doubly censored data (Q1697681) (← links)
• Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies (Q1698838) (← links)
• Multi-rubric models for ordinal spatial data with application to online ratings data (Q1728631) (← links)
• sppmix: Poisson point process modeling using normal mixture models (Q1729311) (← links)
• Transdimensional transformation based Markov chain Monte Carlo (Q1729804) (← links)
• Partially linear censored regression models using heavy-tailed distributions: a Bayesian approach (Q1731194) (← links)
• Bayesian predictive inference under a Dirichlet process with sensitivity to the normal baseline (Q1731422) (← links)
• Detecting spatial clusters via a mixture of Dirichlet processes (Q1733132) (← links)
• Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data (Q1740308) (← links)
• Bayesian inference and prediction of a multiple-change-point panel model with nonparametric priors (Q1740349) (← links)
• Kernel mixture model for probability density estimation in Bayesian classifiers (Q1741388) (← links)
• Posteriors, conjugacy, and exponential families for completely random measures (Q1750082) (← links)
• Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation (Q1757668) (← links)
• Bump hunting with non-Gaussian kernels (Q1766130) (← links)
• Nonparametric Bayesian data analysis (Q1766317) (← links)
• Non parametric mixture priors based on an exponential random scheme (Q1766954) (← links)
• On choosing the centering distribution in Dirichlet process mixture models (Q1779671) (← links)
• Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics (Q1790317) (← links)
• Optimal Bayesian clustering using non-negative matrix factorization (Q1796973) (← links)
• A Bayesian multivariate probit for ordinal data with semiparametric random-effects (Q1800090) (← links)
• Nonparametric hierarchical Bayes via sequential imputations (Q1816964) (← links)
• Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods. (Q1848769) (← links)
• Rates of convergence for the Gaussian mixture sieve. (Q1848816) (← links)
• Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities. (Q1848903) (← links)
• Convergence rates for density estimation with Bernstein polynomials. (Q1848904) (← links)
• Consistent estimation of mixture complexity. (Q1848905) (← links)
• Semiparametric Bayes analysis of longitudinal data treatment models (Q1858961) (← links)
• Mixtures of products of Dirichlet processes for variable selection in survival analysis (Q1869083) (← links)
• A default Bayesian test for the number of components in a mixture (Q1869085) (← links)
• Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds (Q1926003) (← links)
• Bayesian variable selection for logistic mixed model with nonparametric random effects (Q1927042) (← links)
• The dynamics of UK and US inflation expectations (Q1927097) (← links)
• Bayesian approaches to the model selection problem in the analysis of latent stage-sequential process (Q1927188) (← links)
• Semiparametric Bayesian estimation of mixed count regression models (Q1934893) (← links)
• Fast and efficient Bayesian semi-parametric curve-fitting and clustering in massive data (Q1940901) (← links)
• Comments on the article of C.-Y. Lai, L. Tian, and E. F. Schisterman on the ``Exact confidence interval estimation for the Youden index and its corresponding optimal cut-point'' (Q1942914) (← links)
• Building hyper Dirichlet processes for graphical models (Q1951978) (← links)
• Mean field inference for the Dirichlet process mixture model (Q1951990) (← links)
• Adaptive Bayesian density estimation with location-scale mixtures (Q1952098) (← links)
• Sparse covariance estimation in heterogeneous samples (Q1952215) (← links)
• On posterior contraction of parameters and interpretability in Bayesian mixture modeling (Q1983595) (← links)
• Dirichlet process mixtures under affine transformations of the data (Q1995862) (← links)
• A Bayesian mixture model for clustering circular data (Q2008137) (← links)
• Hierarchical Dirichlet scaling process (Q2014581) (← links)
• Approximating predictive probabilities of Gibbs-type priors (Q2023853) (← links)
• Multiscale stick-breaking mixture models (Q2029098) (← links)
• A partition Dirichlet process model for functional data analysis (Q2040661) (← links)