Results 51 to 60 of about 6,156 (248)
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
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Expansion for moments of regression quantiles with applications to nonparametric testing [PDF]
Bernoulli, 2019 We discuss nonparametric tests for parametric specifications of regression quantiles. The test is based on the comparison of parametric and nonparametric fits of these quantiles. The nonparametric fit is a Nadaraya-Watson quantile smoothing estimator. An asymptotic treatment of the test statistic requires the development of new mathematical arguments ...
Mammen, Enno +2 more
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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
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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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Journal of Data Science, 2021 Considering the importance of science and mathematics achieve- ments of young students, one of the most well known observed phenomenon is that the performance of U.S. students in mathematics and sciences is undesirable.
M. Tian +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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