Results 61 to 70 of about 113,685 (321)

Quantile regression for mixed models with an application to examine blood pressure trends in China [PDF]

, 2015
Cardiometabolic diseases have substantially increased in China in the past 20 years and blood pressure is a primary modifiable risk factor. Using data from the China Health and Nutrition Survey, we examine blood pressure trends in China from 1991 to 2009,
Fuentes, Montserrat, Gordon-Larsen, Penny, Reich, Brian J., Smith, Luke B.   +3 more
core   +3 more sources

Friction Characteristics of Post-Tensioned Tendons of Full-Scale Structures Based on Site Tests

Advances in Civil Engineering, 2020
In the design of prestressing concrete structures, the friction characteristics between strands and channels have an important influence on the distribution of prestressing force, which can be considered comprehensively by curvature and swing friction ...
Haoyun Yuan, Yuan Li, Bin Zhou, Shuanhai He, Peizhi Wang   +4 more
doaj   +1 more source

Variable selection in macroeconomic stress test: a Bayesian quantile regression approach

Empirical Economics
The key assumption in stress test scenarios is that selected risk factors are useful in predicting banks’ tail risks under severe economic conditions. We argue that high-dimensional Bayesian quantile regression models with shrinkage priors are ideal for ...
Mai Dao, Lam Nguyen
semanticscholar   +1 more source

Pan‐3D Genome Analysis Reveals the Roles of Structural Variation in Chicken Chromatin Architectures, Domestication and Production Traits

Advanced Science, EarlyView.
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou, Danfeng Cai, Changbin Zhao, Siyu Zhang, Jiahao Li, Zhaofeng Zhang, Shaofen Kong, Xin Yang, Xiaoli Zhou, Farhad Bordbar, Fayi Chen, Yaohuan Xu, Zhe Zhang, Lihong Gu, Zhenhui Li, Xiquan Zhang, Wen Luo, Jingting Shu, Bolin Cai, Qinghua Nie   +19 more
wiley   +1 more source

Identification of Wiener Model with Internal Noise Using a Cubic Spline Approximation-Bayesian Composite Quantile Regression Algorithm

Complexity, 2020
A cubic spline approximation-Bayesian composite quantile regression algorithm is proposed to estimate parameters and structure of the Wiener model with internal noise.
Tianhong Pan, Wei Guo, Ying Song, Fujia Yin   +3 more
doaj   +1 more source

Bayesian bivariate quantile regression

Statistical Modelling, 2014
Quantile regression (QR) has become a widely used tool to study the impact of covariates on quantiles of a response distribution. QR provides a detailed description of the conditional response when considering a dense set of quantiles, without assuming a closed form for its distribution.
Waldmann, Elisabeth, Kneib, Thomas
openaire   +3 more sources

Bayesian Quantile Regression with Mixed Discrete and Nonignorable Missing Covariates

Bayesian Analysis, 2020
Bayesian inference on quantile regression (QR) model with mixed discrete and non-ignorable missing covariates is conducted by reformulating QR model as a hierarchical structure model.
Zhiqiang Wang, Ni Tang
semanticscholar   +1 more source

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +1 more source

Spatial Quantile Regression In Analysis Of Healthy Life Years In The European Union Countries [PDF]

, 2016
The paper investigates the impact of the selected factors on the healthy life years of men and women in the EU countries. The multiple quantile spatial autoregression models are used in order to account for substantial differences in the healthy life ...
Orwat-Acedańska, Agnieszka, Trzpiot, Grażyna   +1 more
core   +2 more sources

Use of Bayesian, Lasso Binary Quantile Regression to Identify Suitable Habitat for Tiger Prey Species in Thap Lan National Park, Eastern Thailand

Environment and Natural Resources Journal, 2022
A Bayesian approach was used to develop binary quantile regression models featuring the lasso penalty. The models afford the advantages of all quantile regression models, such as robustness and detailed insights into covariate effects; they also handle ...
Paanwaris Paansri, Warong Suksavate, Aingorn Chaiyes, Prawatsart Chanteap, Prateep Duengkae   +4 more
doaj   +1 more source