Results 61 to 70 of about 812,319 (279)

Adaptive Bayesian Quantile Regression for Count Data: A Random-Bridge Penalty Approach With Applications

Journal of Mathematics
A Bayesian modeling framework with a random-bridge prior is proposed for quantile regression of high-dimensional count data, addressing challenges in variable sparsity identification and model adaptability.
Youxi Luo, Ziqi Zhou, Chaozhu Hu, Hanfang Li   +3 more
doaj   +1 more source

Quantile-quantile plot for test statistic inflation, lambda median = 1.026.

, 2016
Quantile-quantile plot for test statistic inflation, lambda median = 1.026.
Stephen J. Newhouse (262102), Gerome Breen (15025), Jack Euesden (3390296), Fazil Aliev (797465), David A. Collier (184865), Xiaohong Ma (462719), Philip Asherson (524714), Gursharan Kalsi (797471), Tao Li (86810), Yingcheng Wang (462720), Jonathan R. I. Coleman (3390299), Francesca Ducci (133630), Xiehe Liu (3390293)   +12 more
core   +1 more source

Integrated Multiomic Analysis Reveals an EBV‐Associated MIF–SPP1+ Macrophage Axis Linking Tumor Stemness and Immune Dysfunction in Nasopharyngeal Carcinoma

Advanced Science, EarlyView.
This study maps how Epstein–Barr virus reshapes the cellular ecosystem of nasopharyngeal carcinoma. It identifies SPP1+ macrophages as partners of stemness‐associated tumor cells and dysfunctional T cells, links tumor‐derived MIF to macrophage recruitment and programming, and shows that macrophage‐derived SPP1 promotes tumorsphere formation and impairs
Guo‐Ying Liu, Shu‐Hui Lv, Shui‐Qing He, Yao‐Fei Jiang, Xing‐Si Peng, Jian‐Cong Sun, Fen He, Hai‐Yan Qin, Nian Lu, Wei‐Xin Bei, Lin‐Yu Zhao, Wan‐Qin Shen, Ze‐Yu Zhao, Lin Wang, Yan‐Qun Xiang, Wang‐Zhong Li   +15 more
wiley   +1 more source

Penalized flexible Bayesian quantile regression [PDF]

, 2012
Copyright © 2012 SciResThis article has been made available through the Brunel Open Access Publishing Fund.The selection of predictors plays a crucial role in building a multiple regression model. Indeed, the choice of a suitable subset of predictors can
Yu, K, Alkenani, A, Alhamzawi, R
core   +1 more source

Disrupted Top‐Down Modulation as a Mechanism of Impaired Multisensory Processing in Autistic Children

Advanced Science, EarlyView.
In this work, we show that multisensory integration in autistic children is characterized by attenuated ERP responses and α‐band desynchronization, together with reduced theta‐band communication between parieto‐occipital and frontal regions. The intermediate neural profile observed in unaffected siblings raises the possibility that altered cortical ...
Theo Vanneau, John J. Foxe, Shlomit Beker, Sophie Molholm   +3 more
wiley   +1 more source

Bayesian Quantile Regression with Adaptive Elastic Net Penalty for Longitudinal Data

پژوهش‌های ریاضی, 2015
Longitudinal studies include the important parts of epidemiological surveys, clinical trials and social studies. In longitudinal studies, measurement of the responses is conducted repeatedly through time.
A Aghamohammadi, S Mohammadi
doaj  

Variational Bayesian Quantile Regression with Non-Ignorable Missing Response Data

Axioms
For non-ignorable missing response variables, the mechanism of whether the response variable is missing can be modeled through logistic regression. In Bayesian computation, the lack of a conjugate prior for the logistic function poses a significant ...
Juanjuan Zhang, Weixian Wang, Maozai Tian   +2 more
doaj   +1 more source

STRIDE: A Sequencing Depth Robust Metric for Sparse Chromosome Conformation Capture Data Comparison

Advanced Science, EarlyView.
A mean first passage time (MFPT)‐based representation transforms sparse Hi‐C contact maps into robust topological representations, preserving biologically meaningful chromatin features and facilitating robust analysis of TADs, chromatin loops, differential chromatin contacts, and sparse single‐cell Hi‐C data.
Bingxiang Xu, Xiaomeng Gao, Weichu Tao, Zhihua Zhang, Feifei Li   +4 more
wiley   +1 more source

Objective Bayesian Inference for Differential Effects in Unequal-Variance Two-Sample Normal Models

Mathematics
In this paper, we develop a unified objective Bayesian framework for inference on the differential effect in the unequal-variance two-sample normal model.
Sang Gil Kang, Yongku Kim
doaj   +1 more source

On posterior concentration rates for Bayesian quantile regression based on the misspecified asymmetric Laplace likelihood

, 2018
There is an error in the paper. We have realized that Assumption 2b in page 5 of the paper may be incorrect and the issue remains unresolved as of August 8 ...
Sriram, Karthik, Ramamoorthi, R. V.
openaire   +2 more sources