Results 201 to 210 of about 6,156 (248)
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Investigating distribution of nitrate concentration using ensemble nonparametric quantile regression
Science of the Total Environment, 2021Nitrate ( NO3−) pollution in groundwater is a major concern due to its negative health effects; therefore, accurately estimating and predicting the NO3− concentration in groundwater is necessary.
Hojun You, , Chae Young Lim
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IEEE Transactions on Power Systems, 2023
Probabilistic forecasting that quantifies the prediction uncertainties is crucial for decision-making in power systems. As a prevalent nonparametric probabilistic forecasting approach, traditional machine learning-based quantile regression encounters the
Wenkang Cui, C. Wan, Yonghua Song
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Probabilistic forecasting that quantifies the prediction uncertainties is crucial for decision-making in power systems. As a prevalent nonparametric probabilistic forecasting approach, traditional machine learning-based quantile regression encounters the
Wenkang Cui, C. Wan, Yonghua Song
semanticscholar +1 more source
Eastern European Economics, 2023
This paper applies a novel time series-based additive nonparametric quantile regression technique to stress test the credit risk of conventional and participation banks in Turkey.
Resul Aydemir +2 more
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This paper applies a novel time series-based additive nonparametric quantile regression technique to stress test the credit risk of conventional and participation banks in Turkey.
Resul Aydemir +2 more
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Nonparametric quantile regression with missing data using local estimating equations
Journal of nonparametric statistics (Print), 2022In this paper, we propose augmented inverse probability weighted (AIPW) local estimating equations in dealing with missing data in nonparametric quantile regression context. The missing mechanism here is missing at random.
Chunyu Wang, M. Tian, M. Tang
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On nonparametric regression estimators based on regression quantiles
Communications in Statistics - Theory and Methods, 1987In the ciassical regression model Yi=h(xi) + ∊ i, i=1,…,n, Cheng (1984) introduced linear combinations of regression quantiles as a new class of estimators for the unknown regression function h(x). The asymptotic properties studied in Cheng (1984) are reconsidered.
P Janssen, N Veraverbeke
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, 2021
The problem of estimating the spatio-functional quantile regression for a given spatial mixing structure ( X i , Y i ) ∈ F × R , when i ∈ Z N , N ≥ 1 and F is a separable Hilbert space, is investigated.
Mustapha Rachdi +2 more
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The problem of estimating the spatio-functional quantile regression for a given spatial mixing structure ( X i , Y i ) ∈ F × R , when i ∈ Z N , N ≥ 1 and F is a separable Hilbert space, is investigated.
Mustapha Rachdi +2 more
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Better nonparametric confidence intervals via robust bias correction for quantile regression
Stat, 2021In this article, we revisit the problem of how to construct better nonparametric confidence intervals for the conditional quantile function from an optimization perspective.
Shaojun Guo, Yu Han, Qingsong Wang
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Nonparametric regression M-quantiles
Statistics & Probability Letters, 1989zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antoch, J., Janssen, P.
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Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
Neural Information Processing SystemsThis paper investigates nonparametric quantile regression using recurrent neural networks (RNNs) and sparse recurrent neural networks (SRNNs) to approximate the conditional quantile function, which is assumed to follow a compositional hierarchical ...
Han Yu, Lyumin Wu, Wen Zhou, Zhao Ren
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Variational Inference for Nonparametric Bayesian Quantile Regression
Proceedings of the AAAI Conference on Artificial Intelligence, 2015Quantile regression deals with the problem of computing robust estimators when the conditional mean and standard deviation of the predicted function are inadequate to capture its variability. The technique has an extensive list of applications, including health sciences, ecology and finance.
Sachinthaka Abeywardana +1 more
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