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   Articles with "quantile regression" as a keyword



Predictive Strength of Auditory Maturity Across Different Levels of Language Ability: An Exploratory Quantile Regression Study

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recommendations! Published in 2024 at "Developmental Psychobiology"

DOI: 10.1002/dev.70013

Abstract: ABSTRACT Auditory evoked potential‐age (AEP‐age) is proposed to index auditory maturation and has been found to predict language skills in children with and without a language disorder. However, reporting average effects using linear regression does… read more here.

Keywords: age; auditory; aep age; language ... See more keywords

Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging

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recommendations! Published in 2023 at "Ecology and Evolution"

DOI: 10.1002/ece3.9967

Abstract: Abstract Tagging of animals induces a variable stress response which following release will obscure natural behavior. It is of scientific relevance to establish methods that assess recovery from such behavioral perturbation and generalize well to… read more here.

Keywords: using quantile; quantile regression; relative entropy; recovery ... See more keywords

Spatiotemporal modeling of hydrological return levels: A quantile regression approach

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recommendations! Published in 2019 at "Environmetrics"

DOI: 10.1002/env.2522

Abstract: Extreme river flows can lead to inundation of floodplains, with consequent impacts for society, the environment, and the economy. Extreme flows are inherently difficult to model, being infrequent, irregularly spaced, and affected by nonstationary climatic… read more here.

Keywords: quantile regression; regression; model; spatiotemporal modeling ... See more keywords

Bayesian time‐varying quantile regression to extremes

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recommendations! Published in 2019 at "Environmetrics"

DOI: 10.1002/env.2596

Abstract: Maximum analysis consists of modeling the maximums of a data set by considering a specific distribution. Extreme value theory (EVT) shows that, for a sufficiently large block size, the maxima distribution is approximated by the… read more here.

Keywords: time varying; varying quantile; quantile regression; distribution ... See more keywords
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Spatial cluster detection with threshold quantile regression

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recommendations! Published in 2021 at "Environmetrics"

DOI: 10.1002/env.2696

Abstract: This publication is based upon work supported by King Abdullah University of Science and Technology (KAUST), Officeof Sponsored Research (OSR) under Award No. OSR-2019-CRG7-3800; by the IR/D program and grant DMS-1712760from the National Science Foundation.… read more here.

Keywords: cluster detection; quantile regression; science; detection threshold ... See more keywords

Electricity price forecasting using quantile regression averaging with nonconvex regularization

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recommendations! Published in 2024 at "Journal of Forecasting"

DOI: 10.1002/for.3103

Abstract: Electricity price forecasting (EPF) is an emergent research domain that focuses on forecasting the future electricity market price both deterministically and probabilistically. EPF has attracted enormous interest from both practitioners and scholars since the deregulation… read more here.

Keywords: electricity; electricity price; price forecasting; price ... See more keywords

Deep Learning Quantile Regression for Interval‐Valued Data Prediction

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recommendations! Published in 2025 at "Journal of Forecasting"

DOI: 10.1002/for.3271

Abstract: Interval‐valued data are a special symbolic data, which contains rich information. The prediction of interval‐valued data is a challenging task. In terms of predicting interval‐valued data, machine learning algorithms typically consider mean regression, which is… read more here.

Keywords: interval valued; method; quantile regression; valued data ... See more keywords

Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout, with applications to quality of life measurements from clinical trials.

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recommendations! Published in 2019 at "Statistics in medicine"

DOI: 10.1002/sim.8152

Abstract: The analysis of quality of life (QoL) data can be challenging due to the skewness of responses and the presence of missing data. In this paper, we propose a new weighted quantile regression method for… read more here.

Keywords: quantile regression; regression; analysis; qol data ... See more keywords

Variable selection in competing risks models based on quantile regression.

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recommendations! Published in 2019 at "Statistics in medicine"

DOI: 10.1002/sim.8326

Abstract: The proportional subdistribution hazard regression model has been widely used by clinical researchers for analyzing competing risks data. It is well known that quantile regression provides a more comprehensive alternative to model how covariates influence… read more here.

Keywords: selection competing; quantile regression; regression; competing risks ... See more keywords

Communication‐efficient estimation and inference for high‐dimensional quantile regression based on smoothed decorrelated score

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9555

Abstract: Distributed estimation based on different sources of observations has drawn attention in the modern statistical learning. In practice, due to the expensive cost or time‐consuming process to collect data in some cases, the sample size… read more here.

Keywords: communication efficient; high dimensional; estimation inference; estimation ... See more keywords

Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline.

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recommendations! Published in 2023 at "Statistics in medicine"

DOI: 10.1002/sim.9745

Abstract: The National Alzheimer's Coordinating Center Uniform Data Set includes test results from a battery of cognitive exams. Motivated by the need to model the cognitive ability of low-performing patients we create a composite score from… read more here.

Keywords: additive model; linear additive; model; quantile regression ... See more keywords