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Testing for additivity in nonparametric quantile regression [PDF]
Annals of the Institute of Statistical Mathematics, 2014 Discussion Paper / SFB 823;52 ...
Dette, Holger +2 more
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Frontiers in Energy Research, 2023 The volatility and sporadic availability of renewable energy create significant challenges to the optimal scheduling of integrated electricity and gas systems (IEGS).
Jinyu Chen, Dawei Chen
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Penalized flexible Bayesian quantile regression [PDF]
, 2012 Copyright © 2012 SciResThis article has been made available through the Brunel Open Access Publishing Fund.The selection of predictors plays a crucial role in building a multiple regression model. Indeed, the choice of a suitable subset of predictors can
Yu, K, Alkenani, A, Alhamzawi, R
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Bayesian nonparametric quantile regression using splines
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paul A. Thompson +4 more
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Global Bahadur Representation For NonParametric Censored Regression Quantiles and its Applications [PDF]
, 2013 This paper is concerned with the nonparametric estimation of regression quantiles of a response variable that is randomly censored. Using results on the strong uniform convergence rate of U-processes, we derive a global Bahadur representation for a ...
Linton, Oliver +2 more
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Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]
, 2009 Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Kneib, Thomas +2 more
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pyStoNED: A Python Package for Convex Regression and Frontier Estimation
Journal of Statistical SoftwareShape-constrained nonparametric regression is a growing area in econometrics, statistics, operations research, machine learning, and related fields.
Sheng Dai +3 more
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The Principal Component Linear Spline Quantile Regression Model in Statistical Downscaling for Rainfall Data [PDF]
Journal of Sciences, Islamic Republic of IranInformation regarding rainfall can be obtained from global data, namely the global climate model that can be accessed through the statistical downscaling approach.
Andi Yulianti +2 more
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Quantile-specific heritability of plasma fibrinogen concentrations.
PLoS ONE, 2022 BackgroundFibrinogen is a moderately heritable blood protein showing different genetic effects by sex, race, smoking status, pollution exposure, and disease status.
Paul T Williams
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quantreg.nonpar: An R Package for Performing Nonparametric Series Quantile Regression [PDF]
The R Journal, 2016 The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially linear quantile models. quantreg.nonpar obtains point estimates of the conditional quantile function and its derivatives based on series approximations to the nonparametric part of the model.
Lipsitz, Michael +3 more
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