Baseline drift estimation for air quality data using quantile trend filtering

DOI10.1214/19-AOAS1318zbMath1446.62115arXiv1904.10582MaRDI QIDQ2194449

Halley L. Brantley, Eric C. Chi, Joseph Guinness

Publication date: 26 August 2020

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.10582

zbMATH Keywords

trend estimationair qualitynonparametric quantile regression

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12)

Related Items (3)

Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations ⋮ Unnamed Item ⋮ Tensor quantile regression with application to association between neuroimages and human intelligence

Uses Software

• Gurobi
• quantreg
• ggplot2
• quadprog
• fields
• Rglpk

Cites Work

• Unnamed Item
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• Adaptive piecewise polynomial estimation via trend filtering
• ggplot2
• A Nonparametric Regression Approach to Syringe Grading for Quality Improvement
• Extended Bayesian information criteria for model selection with large model spaces
• Period Analysis of Variable Stars by Robust Smoothing
• $\ell_1$ Trend Filtering
• Regression Quantiles
• Quantile smoothing splines
• Sparsity and Smoothness Via the Fused Lasso
• Bayesian quantile regression

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