Comparison of Bayesian nonparametric density estimation methods
From MaRDI portal
Publication:5867749
DOI10.1080/03610926.2020.1864828OpenAlexW91819771MaRDI QIDQ5867749
Publication date: 14 September 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.13800
asymptotic distributiondensity estimationBayesian inferenceMCMCHamiltonian Monte Carlopenalized Gaussian mixtures
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- École d'été de probabilités de Saint-Flour XIII - 1983
- The root-unroot algorithm for density estimation as implemented via wavelet block thresholding
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Ferguson distributions via Polya urn schemes
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Density estimation and comparison with a penalized mixture approach
- A Bayesian analysis of some nonparametric problems
- Mean field variational Bayes for elaborate distributions
- Remarks on Some Nonparametric Estimates of a Density Function
- Smooth Random Effects Distribution in a Linear Mixed Model
- Density Estimation in the Presence of Heteroscedastic Measurement Error
- Estimating Normal Means with a Dirichlet Process Prior
- Bayesian inference for generalized extreme value distributions via Hamiltonian Monte Carlo
- All of Nonparametric Statistics
- On Estimation of a Probability Density Function and Mode
- Inference in Semiparametric Dynamic Models for Binary Longitudinal Data
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)