Sup–Hellinger consistency for local density regression
From MaRDI portal
Publication:2807770
DOI10.1080/03610926.2013.863927zbMath1338.62140OpenAlexW2320919818MaRDI QIDQ2807770
Publication date: 25 May 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2013.863927
Cites Work
- Posterior consistency in conditional distribution estimation
- Posterior consistency of Gaussian process prior for nonparametric binary regression
- The local Dirichlet process
- Convergence rates of posterior distributions for non iid observations
- Locally parametric nonparametric density estimation
- Posterior consistency for semi-parametric regression problems
- Information-theoretic determination of minimax rates of convergence
- New approaches to Bayesian consistency
- Posterior consistency of Dirichlet mixtures in density estimation
- Convergence rates of posterior distributions.
- Convergence rates for density estimation with Bernstein polynomials.
- Bayesian consistency for regression models under a supremum distance
- Posterior consistency of Dirichlet mixtures for estimating a transition density
- On posterior consistency in nonparametric regression problems
- A Bayesian analysis of some nonparametric problems
- Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors
- A Bayesian Approach to Non-Parametric Monotone Function Estimation
- Bayesian Nonparametrics
- On sufficient conditions for Bayesian consistency
- Gibbs Sampling Methods for Stick-Breaking Priors
- An ANOVA Model for Dependent Random Measures
- On Bayes procedures
- Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
- On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation
- Order-Based Dependent Dirichlet Processes