Pages that link to "Item:Q4844191"
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The following pages link to Bayesian Density Estimation and Inference Using Mixtures (Q4844191):
Displaying 50 items.
- Flexible distributions for triple-goal estimates in two-stage hierarchical models (Q959406) (← links)
- Reversible jump MCMC in mixtures of normal distributions with the same component means (Q961211) (← links)
- Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data (Q961896) (← links)
- Computationally efficient learning of multivariate \(t\) mixture models with missing information (Q964652) (← links)
- Hierarchical mixture models for assessing fingerprint individuality (Q965110) (← links)
- Nonparametric Bayesian multiple testing for longitudinal performance stratification (Q965133) (← links)
- Sparse Bayesian hierarchical modeling of high-dimensional clustering problems (Q972898) (← links)
- A Dirichlet process mixture of hidden Markov models for protein structure prediction (Q993267) (← links)
- Flexible modeling of conditional distributions using smooth mixtures of asymmetric Student \(t\) densities (Q993802) (← links)
- Posterior convergence rates of Dirichlet mixtures at smooth densities (Q995421) (← links)
- On rates of convergence for posterior distributions in infinite-dimensional models (Q995423) (← links)
- Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis (Q997304) (← links)
- Nonparametric Bayesian modelling using skewed Dirichlet processes (Q1007507) (← links)
- Robust estimation of mixture complexity for count data (Q1020099) (← links)
- A consistent nonparametric Bayesian procedure for estimating autoregressive conditional den\-sities (Q1020103) (← links)
- Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions (Q1020224) (← links)
- Model-based clustering for longitudinal data (Q1023471) (← links)
- Parametric and nonparametric Bayesian model specification: a case study involving models for count data (Q1023544) (← links)
- Predictive performance of Dirichlet process shrinkage methods in linear regression (Q1023703) (← links)
- Bayesian mixture of autoregressive models (Q1023925) (← links)
- Bayesian nonparametric binary regression via random tessellations (Q1036741) (← links)
- NML, Bayes and true distributions: a comment on Karabatsos and Walker (2006) (Q1042305) (← links)
- Modelling with mixture of symmetric stable distributions using Gibbs sampling (Q1046641) (← links)
- Reparameterisation issues in mixture modelling and their bearing on MCMC algorithms. (Q1277694) (← links)
- Exponential posterior consistency via generalized Pólya urn schemes in finite semiparametric mixtures (Q1307092) (← links)
- Nonparametric Bayesian methods in hierarchical models (Q1345550) (← links)
- A note on the Dirichlet process prior in Bayesian nonparametric inference with partial exchangeability (Q1375870) (← links)
- Estimation of Lorenz curves: A Bayesian nonparametric approach. (Q1398963) (← links)
- An empirical analysis of earnings dynamics among men in the PSID: 1968--1989 (Q1573365) (← links)
- A Bayesian model selection method with applications (Q1614838) (← links)
- Learning from incomplete data via parameterized \(t\) mixture models through eigenvalue decomposition (Q1621293) (← links)
- Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data (Q1621305) (← links)
- Dependent mixture models: clustering and borrowing information (Q1621321) (← links)
- Some aspects of symmetric Gamma process mixtures (Q1631572) (← links)
- Nonparametric Bayesian negative binomial factor analysis (Q1631595) (← links)
- A deconvolution path for mixtures (Q1639196) (← links)
- Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution (Q1644199) (← links)
- An optimal data ordering scheme for Dirichlet process mixture models (Q1654250) (← links)
- Bayesian temporal density estimation with autoregressive species sampling models (Q1657858) (← links)
- Exchangeable trait allocations (Q1657956) (← links)
- Adjusting background noise in cluster analyses of longitudinal data (Q1658439) (← links)
- Functional regression approximate Bayesian computation for Gaussian process density estimation (Q1658999) (← links)
- Bayesian nonparametric forecasting for INAR models (Q1659101) (← links)
- A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection (Q1659170) (← links)
- Destructive weighted Poisson cure rate models with bivariate random effects: classical and Bayesian approaches (Q1659244) (← links)
- A time dependent Bayesian nonparametric model for air quality analysis (Q1659491) (← links)
- A semiparametric scale-mixture regression model and predictive recursion maximum likelihood (Q1660139) (← links)
- Full Bayesian inference with hazard mixture models (Q1660222) (← links)
- Dual-semiparametric regression using weighted Dirichlet process mixture (Q1662051) (← links)
- Jeffreys priors for mixture estimation: properties and alternatives (Q1662183) (← links)
