Results 31 to 40 of about 4,368 (154)
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction
, 2022 We propose a nonparametric quantile regression method using deep neural networks with a rectified linear unit penalty function to avoid quantile crossing. This penalty function is computationally feasible for enforcing non-crossing constraints in multi-dimensional nonparametric quantile regression.
Tang, Wenlu +3 more
openaire +2 more sources
Quantile-Dependent Expressivity of Serum Uric Acid Concentrations
International Journal of Genomics, 2021 Objective. “Quantile-dependent expressivity” occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., serum uric acid) is high or low relative to its distribution.
Paul T. Williams
doaj +1 more source
Function-on-function linear quantile regression
Mathematical Modelling and Analysis, 2022 In this study, we propose a function-on-function linear quantile regression model that allows for more than one functional predictor to establish a more flexible and robust approach. The proposed model is first transformed into a finitedimensional space
Ufuk Beyaztas, Han Lin Shang
doaj +1 more source
Bank loans recovery rate in commercial banks:A case study of non-financial corporations [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 The empirical literature on credit risk is mainly based on modelling the probability of default, omitting the modelling of the loss given default. This paper is aimed to predict recovery rates on the rarely applied nonparametric method of Bayesian Model ...
Natalia Nehrebecka
doaj +1 more source
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
doaj +2 more sources
Nonparametric quantile regression with heavy-tailed and strongly dependent errors [PDF]
Annals of the Institute of Statistical Mathematics, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
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
doaj +1 more source
The Use of Nonparametric Quantile Regression and Least Median of Squares Regression for Construction of Growth Curves of Weight [PDF]
Turkiye Klinikleri Journal of Medical Sciences, 2013 Objective: This study aimed to investigate the use of the Least Median Squares (LMS) regression and nonparametric quantile regression model comparatively to describe children?s weight growth. Material and Methods: Two different models were used to obtain the percentile curves to identify the weight growth in girls.
Ankaralı, Handan +4 more
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source