Results 71 to 80 of about 204,570 (278)

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

3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response

Advanced Engineering Materials, EarlyView.
A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley   +1 more source

A Note on the Quantile Formulation [PDF]

, 2014
Many investment models in discrete or continuous-time settings boil down to maximizing an objective of the quantile function of the decision variable.
Xu, Zuo Quan
core   +1 more source

Functional quantile principal component analysis

Biostatistics
Summary This paper introduces functional quantile principal component analysis (FQPCA), a dimensionality reduction technique that extends the concept of functional principal components analysis (FPCA) to the examination of participant-specific quantiles curves.
Méndez-Civieta, Álvaro, Wei, Ying, Diaz, Keith M., Goldsmith, Jeff   +3 more
openaire   +2 more sources

Multiomics Analyses Reveal an Essential Role of Tryptophan in Treatment of csDMARDs in Rheumatoid Arthritis

Advanced Science, EarlyView.
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian, Jing Zhu, Jianhong Wu, Yan Zhang, Jianghua Chen, Huan Wang, Hengyan Liu, Ke Xu, Jiaxin Huang, Xiaoting Zhu, Yuanli Wei, Shilin Li, Tingting Wang, Xuan Huang, Qinghua Zou, Jie Zhang, Jiang Su, Xinming Du, Yaping Lu, Tianci Zhou, Yingtong Zhou, Minglong Tang, Bin Li, Xue Zhou, Qihao Wei, Qiulong Yan, Fanxin Zeng   +26 more
wiley   +1 more source

A Software Reliability Model Using Quantile Function

Journal of Probability and Statistics, 2014
We study a class of software reliability models using quantile function. Various distributional properties of the class of distributions are studied. We also discuss the reliability characteristics of the class of distributions.
Bijamma Thomas, Midhu Narayanan Nellikkattu, Sankaran Godan Paduthol   +2 more
doaj   +1 more source

Conditional Quantile Processes Based on Series or Many Regressors [PDF]

, 2011
Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its functionals. In this paper we develop the nonparametric QR series framework,
Belloni, Alexandre, Chernozhukov, Victor, Fernandez-Val, Ivan   +2 more
core   +2 more sources

Integrated Transcriptomics Reveals Evolutionary Trajectories and Cell Density‐Dependent Mechanisms in Aldosterone‐Producing Adenomas

Advanced Science, EarlyView.
Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun, Changying Jing, Martina Tetti, Siyuan Gong, Jia Wei, Yingxian Pang, Martin Reincke, Tracy Ann Williams   +7 more
wiley   +1 more source

On function-on-function linear quantile regression

Journal of Applied Statistics
We present two innovative functional partial quantile regression algorithms designed to accurately and efficiently estimate the regression coefficient function within the function-on-function linear quantile regression model. Our algorithms utilize functional partial quantile regression decomposition to effectively project the infinite-dimensional ...
Muge Mutis, Ufuk Beyaztas, Filiz Karaman, Han Lin Shang   +3 more
openaire   +4 more sources

Quantile and quantile-function estimations under density ratio model

The Annals of Statistics, 2013
Published in at http://dx.doi.org/10.1214/13-AOS1129 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Chen, Jiahua, Liu, Yukun
openaire   +3 more sources