Modelling and computation using NCoRM mixtures for density regression
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Publication:1631587
DOI10.1214/17-BA1072zbMath1407.62134arXiv1608.00874OpenAlexW2963549308MaRDI QIDQ1631587
Fabrizio Leisen, Jim E. Griffin
Publication date: 6 December 2018
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1608.00874
mixture modelsdependent random measuresmultivariate Lévy measuresPoisson estimatorpseudo-marginal samplers
Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Random measures (60G57)
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Cites Work
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- The pseudo-marginal approach for efficient Monte Carlo computations
- Establishing some order amongst exact approximations of MCMCs
- Bayesian inference with dependent normalized completely random measures
- A moment-matching Ferguson \& Klass algorithm
- Vectors of two-parameter Poisson-Dirichlet processes
- On adaptive Markov chain Monte Carlo algorithms
- Distributional results for means of normalized random measures with independent increments
- Dependent mixture models: clustering and borrowing information
- On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods
- A vector of Dirichlet processes
- The Ornstein-Uhlenbeck Dirichlet process and other time-varying processes for Bayesian nonparametric inference
- Nonparametric Bayesian models through probit stick-breaking processes
- Unbiased Estimation with Square Root Convergence for SDE Models
- Posterior Analysis for Normalized Random Measures with Independent Increments
- A Bayesian Population Model With Hierarchical Mixture Priors Applied to Blood Count Data
- Random-Weight Particle Filtering of Continuous Time Processes
- Correlated Random Measures
- Generalized Gamma measures and shot-noise Cox processes
- A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments
- A multivariate extension of a vector of two-parameter Poisson–Dirichlet processes
- Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
- Compound Random Measures and their Use in Bayesian Non-Parametrics
- An ANOVA Model for Dependent Random Measures
- Comparing Distributions by using Dependent Normalized Random-Measure Mixtures
- MCMC for normalized random measure mixture models
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