Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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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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
Spatial cluster detection with threshold quantile regression
Sign Up to like & getrecommendations! 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
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.
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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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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.
Sign Up to like & getrecommendations! 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
Decomposition methods for analyzing inequality changes in Latin America 2002–2014
Sign Up to like & getrecommendations! Published in 2018 at "Empirical Economics"
DOI: 10.1007/s00181-018-1518-4
Abstract: This paper studies recent inequality patterns and the distributional effects of schooling and job informality on wage inequality in Argentina, Brazil, Colombia and Mexico during the 2002–2014 period. By means of a quantile regression framework,… read more here.
Keywords: quantile regression; effect; inequality; wage ... See more keywords
Growth takeoffs and trade margins: a quantile regression approach
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DOI: 10.1007/s00181-019-01635-2
Abstract: Recent studies find evidence that economic growth takeoffs are strongly positively correlated with large increases in total aggregate exports. These studies often analyze the average relationship between these economic growth takeoffs and total trade flows.… read more here.
Keywords: growth takeoffs; growth; trade; distribution ... See more keywords
Variable selection with group structure: exiting employment at retirement age—a competing risks quantile regression analysis
Sign Up to like & getrecommendations! Published in 2020 at "Empirical Economics"
DOI: 10.1007/s00181-020-01918-z
Abstract: We consider the exit routes of older employees out of employment around retirement age. Our administrative data cover weekly information about the Danish population from 2004 to 2016 and 397 variables from 16 linked administrative… read more here.
Keywords: risks quantile; competing risks; quantile regression; employment ... See more keywords