JOURNAL ARTICLE

Bayesian Nonparametric Quantile Process Regression

Xu, Steven Guanxing

Year: 2021 Journal:   Arabixiv (OSF Preprints)   Publisher: Center for Open Science

Abstract

Codes to reproduce QUINN, a novel Bayesian nonparametric quantile process regression.

Keywords:
Nonparametric statistics Bayesian probability Quantile regression Quantile Nonparametric regression Dirichlet process Process (computing)

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.34
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Bayesian Methods and Mixture Models
Physical Sciences →  Computer Science →  Artificial Intelligence
Gaussian Processes and Bayesian Inference
Physical Sciences →  Computer Science →  Artificial Intelligence
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability

Related Documents

JOURNAL ARTICLE

Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models

Chao Chang

Journal:   Open Scholarship Institutional Repository (Washington University in St. Louis) Year: 2015
JOURNAL ARTICLE

Bayesian nonparametric quantile regression using splines

Paul A. ThompsonYuzhi CaiRana MoyeedDominic E. ReeveJulian Stander

Journal:   Computational Statistics & Data Analysis Year: 2009 Vol: 54 (4)Pages: 1138-1150
JOURNAL ARTICLE

Variational Inference for Nonparametric Bayesian Quantile Regression

Sachinthaka AbeywardanaFábio Ramos

Journal:   Proceedings of the AAAI Conference on Artificial Intelligence Year: 2015 Vol: 29 (1)
BOOK-CHAPTER

Nonparametric Quantile Regression

Roger Koenker

Cambridge University Press eBooks Year: 2010 Pages: 222-249
BOOK-CHAPTER

Nonparametric Quantile Regression

Roger Koenker

Cambridge University Press eBooks Year: 2008 Pages: 222-249
© 2026 ScienceGate Book Chapters — All rights reserved.