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Journal of Statistical Software, 2014 Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R .
Roger Koenker, Ivan Mizera
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Spirometric traits show quantile-dependent heritability, which may contribute to their gene-environment interactions with smoking and pollution [PDF]
PeerJ, 2020 Background “Quantile-dependent expressivity” refers to a genetic effect that is dependent upon whether the phenotype (e.g., spirometric data) is high or low relative to its population distribution. Forced vital capacity (FVC), forced expiratory volume in
Paul T. Williams
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Powerful nonparametric checks for quantile regression [PDF]
Journal of Statistical Planning and Inference, 2017 32 pages, 2 ...
Maistre, Samuel +2 more
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BMC Research Notes, 2012 Background Mass spectrometry (MS) data are often generated from various biological or chemical experiments and there may exist outlying observations, which are extreme due to technical reasons.
Eo Soo-Heang +3 more
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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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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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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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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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