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Published in 2025 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2025.2563088
Abstract: We study variable selection for partially linear additive models based on smooth-threshold estimating equations and modal regression. Employing B-spline basis functions to approximate the non-parametric component, we convert the semi-parametric model into a parametric model.…
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Keywords:
threshold estimating;
estimating equations;
modal regression;
smooth threshold ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3106773
Abstract: Manifold learning-based face hallucination technologies have been widely developed during the past decades. However, the conventional learning methods always become ineffective in noise environment due to the least-square regression, which usually generates distorted representations for…
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Keywords:
regression;
representation;
face;
face hallucination ... See more keywords
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Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3256999
Abstract: A novel neural network, namely, broad learning system (BLS), has shown impressive performance on various regression and classification tasks. Nevertheless, most BLS models may suffer serious performance degradation for contaminated data, since they are derived…
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Keywords:
learning system;
modal regression;
regression;
broad learning ... See more keywords
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Published in 2025 at "Axioms"
DOI: 10.3390/axioms14110815
Abstract: Real-time control of web traffic is a critical issue for network operators and service providers. It helps ensure robust service and avoid service interruptions, which has an important financial impact. However, due to the high…
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Keywords:
time;
web traffic;
modal regression;
functional modal ... See more keywords
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Published in 2019 at "Entropy"
DOI: 10.3390/e21040403
Abstract: Model-free variable selection has attracted increasing interest recently due to its flexibility in algorithmic design and outstanding performance in real-world applications. However, most of the existing statistical methods are formulated under the mean square error…
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Keywords:
modal regression;
selection;
kernel modal;
variable selection ... See more keywords
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Published in 2025 at "Mathematics"
DOI: 10.3390/math13223637
Abstract: We propose a novel predictor for functional time series (FTS) based on the robust estimation of the modal regression within a functional statistics framework. The robustness of the estimator is incorporated through the L1-estimation of…
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Keywords:
asymptotic distribution;
distribution functional;
modal regression;
estimator ... See more keywords