Results 61 to 70 of about 2,889,354 (160)

Efficient quantile regression for heteroscedastic models [PDF]

, 2015
Quantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al.
MacEachern, Steve N,, Lee, Yoonkyung, Jung, Yoonsuh, Steven N. Maceachern, MacEachern, Steven N., Yoonsuh Jung, Yoonkyung Lee, Yoonsuh Jung (111157), Yoonkyung Lee (643212), Steven N. MacEachern (638105)   +9 more
core   +1 more source

Corrigendum: Modified quantile regression for modeling the low birth weight

Frontiers in Applied Mathematics and Statistics, 2023
Ferra Yanuar, Hazmira Yozza, Aidinil Zetra   +2 more
doaj   +1 more source

Model‐Agnostic Influential Outlier Metric

Stat, Volume 15, Issue 3, September 2026.
ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley   +1 more source

Bayesian estimation and variables selection for binary composite quantile regression [PDF]

, 2020
In this paper, Bayesian hierarchical model proposed to estimate the coefficients of the composite quantile regression model when the response variable is binary.  For selecting variables in binary composite quantile regression lasso the adaptive ...
Flaih, Ahmad Naeem, Alhusseini, Fadel Hamid Hadi, Alshaybawee, Taha   +2 more
core   +1 more source

Wavelet‐Based Hurst Exponent Estimation

WIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa, Fabrizio Ruggeri, Brani Vidakovic   +2 more
wiley   +1 more source

Using Four Machine Learning Methods to Analyze the Association Between Polycyclic Aromatic Hydrocarbons and Visual Impairment in American Adults: Evidence from NHANES

Toxics
The causes of visual impairment are complex and may be influenced by exposure to environmental pollutants. Using data from the 2003–2004 National Health and Nutrition Examination Survey (NHANES), we examined the association between exposure to ten ...
Xiaowei Zang, Wei Zhou, Hengguo Zhang, Xiaodong Zang   +3 more
doaj   +1 more source

Sex specific associations of urinary metals with TyG index in the Chinese elderly ​

Scientific Reports
This study examined associations between urinary metal exposure and the triglyceride glucose (TyG) index, a recognized metabolic risk marker for cardiovascular events.
Jinhao Jia, Bing Wu, Zhongyuan Zhang, Siyu Duan, Yuqing Dai, Meiyan Li, Zhuoheng Shen, Pei He, Rui Wang, Limeng Xiong, ZeYang Bai, Jiaming Fu, Yuhan Zhang, Xiaoyu Li, Yi Zhao, Rui Zhang, Huifang Yang, Yue Sun, Jian Sun   +18 more
doaj   +1 more source

Growing-season NDVI responses to climate change in China’s three major marsh wetland regions

Ecological Indicators
The dynamics of marsh wetland vegetation (MWV) play a vital role in the carbon cycle of marsh wetlands under the background global climate change. However, it is still unclear the response of MWV to climate change in China.
Yue Deng, Shujing Gao, Lulu Liu, Weiguo Jiang   +3 more
doaj   +1 more source

Bayesian Mode Regression [PDF]

, 2014
This article has been made available through the Brunel Open Access Publishing Fund.Like mean, quantile and variance, mode is also an important measure of central tendency of a distribution.
Yu, K, Aristodemou, K, Lu, Z
core   +1 more source

Effects of exposure to multiple metallic elements in the first trimester of pregnancy on the risk of preterm birth

Maternal and Child Nutrition
Exposure to certain heavy metals has been demonstrated to be associated with a higher risk of preterm birth (PTB). However, studies focused on the effects of other metal mixtures were limited.
Ting Wu, Chuan Luo, Tao Li, Chen Zhang, Hui‐Xi Chen, Yi‐Ting Mao, Yan‐Ting Wu, He‐Feng Huang   +7 more
doaj   +1 more source