Estimating changes in the observed relationship between humidity and temperature using noncrossing quantile smoothing splines

DOI10.1007/s13253-020-00393-4OpenAlexW3025407560MaRDI QIDQ2209869

Andrew Poppick, Karen McKinnon

Publication date: 5 November 2020

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-020-00393-4

zbMATH Keywords

quantile regressionquantile smoothing splinesdew pointglobal summary of the dayhigh-dimensional regularizationnoncrossing quantiles

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Spatial quantile autoregression for season within year daily maximum temperature data

Uses Software

• ECOS
• CVXPY

Cites Work

• Unnamed Item
• A nonparametric method for producing isolines of bivariate exceedance probabilities
• Stepwise multiple quantile regression estimation using non-crossing constraints
• An introduction to copulas.
• An analytic approach to practical state space reconstruction
• Spatial quantile multiple regression using the asymmetric Laplace process
• CVXPY: A Python-Embedded Modeling Language for Convex Optimization
• Noncrossing quantile regression curve estimation
• Regression Quantiles
• Quantile smoothing splines
• Model Selection via Bayesian Information Criterion for Quantile Regression Models
• Bayesian Spatial Quantile Regression
• Quantiles for Counts

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