Polya tree Monte Carlo method
From MaRDI portal
Publication:6167052
DOI10.1016/j.csda.2022.107665OpenAlexW4310075640MaRDI QIDQ6167052
Haoxin Zhuang, Grace Y. Yi, Liqun Diao
Publication date: 7 July 2023
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107665
Markov chain Monte CarloGibbs samplerMetropolis-Hasting algorithmpolya treessampling from a distribution
Cites Work
- On adaptive Markov chain Monte Carlo algorithms
- Adaptive independent Metropolis-Hastings
- Polya trees and random distributions
- Some aspects of Pólya tree distributions for statistical modelling
- Discreteness of Ferguson selections
- Ferguson distributions via Polya urn schemes
- More aspects of Pólya tree distributions for statistical modelling
- Prior distributions on spaces of probability measures
- A framework for adaptive MCMC targeting multimodal distributions
- Finite mixture and Markov switching models.
- A Bayesian analysis of some nonparametric problems
- Adaptive Step Size Selection for Hessian-Based Manifold Langevin Samplers
- Inference for Mixtures of Finite Polya Tree Models
- Sampling-Based Approaches to Calculating Marginal Densities
- Handbook of Markov Chain Monte Carlo
- Modeling Regression Error With a Mixture of Polya Trees
- A nonparametric Bayesian approach to copula estimation
- On the Asymptotic Behavior of Bayes' Estimates in the Discrete Case
- A class of distribution function processes which have derivatives
- Monte Carlo sampling methods using Markov chains and their applications
- An adaptive Metropolis algorithm
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item