Nearest neighbor dirichlet mixtures
Abstract
References
Index Terms
- Nearest neighbor dirichlet mixtures
Recommendations
The L1-consistency of Dirichlet mixtures in multivariate Bayesian density estimation
Density estimation, especially multivariate density estimation, is a fundamental problem in nonparametric inference. In the Bayesian approach, Dirichlet mixture priors are often used in practice for such problems. However, the asymptotic properties of ...
Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application
ICMLA '12: Proceedings of the 2012 11th International Conference on Machine Learning and Applications - Volume 01Online algorithms allow data points to be processed sequentially, which is important for real-time applications. In this paper, we propose a novel online clustering approach based on a mixture of Dirichlet processes with Dirichlet distributions, which ...
Mixtures of quantile regressions
A semi-parametric mixture of quantile regressions model is proposed to allow regressions of the conditional quantiles, such as the median, on the covariates without any parametric assumption on the error densities. The median as a measure of center is ...
Comments
Information & Contributors
Information
Published In
Publisher
JMLR.org
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 7Total Downloads
- Downloads (Last 12 months)7
- Downloads (Last 6 weeks)3
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in