Results 81 to 90 of about 5,004,642 (164)

Sparse Bayesian kernel logistic regression

, 2004
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay’s evidence approximation.
Cawley, G. C., Talbot, N. L. C.
core   +5 more sources

Sequential Bayesian Kernel Regression

, 2003
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the number and locations of the kernels.
Jaco Vermaak, Simon J. Godsill, Arnaud Doucet   +2 more
core  

CBKMR: A Copula-based Bayesian Kernel Machine Regression Framework for Optimal Marker Detection in Omics Data

Abstract High-throughput bulk and single-cell omics technologies enable comprehensive molecular profiling, yet identifying compact, biologically interpretable marker sets that distinguish cell types, conditions, or disease states remains challenging. Standard pipelines rely on univariate differential expression tests,
Anirban Chakraborty, Chloe Mattila, Debashis Ghosh, Brian Neelon, Souvik Seal   +4 more
openaire   +2 more sources

Association between exposure to a mixture of phenols, pesticides, and phthalates and obesity: Comparison of three statistical models

Environment International, 2019
Background: The evaluation of the chemical impact on human health is usually constrained to the analysis of the health effects of exposure to a single chemical or a group of similar chemicals at one time.
Yuqing Zhang, Tianyu Dong, Weiyue Hu, Xu Wang, Bo Xu, Zhongning Lin, Tim Hofer, Pawel Stefanoff, Ying Chen, Xinru Wang, Yankai Xia   +10 more
doaj   +1 more source

Multivitamin consumption and childhood asthma: a cross-sectional study of the NHANES database

BMC Pediatrics
Background Dietary intakes of vitamins are associated with asthma. However, previous studies mainly explored the association between a single vitamin intake and asthma, which did not take the multivitamins into consideration.
Li Zhang, Yali Xu, Xuemei Li, Fan Yang, Chengxiu Wang, Chunmei Yu   +5 more
doaj   +1 more source

kernlab - An S4 Package for Kernel Methods in R [PDF]

kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels),
Kurt Hornik, Alexandros Smola, Achim Zeileis, Alexandros Karatzoglou   +3 more
core  

The Relationship Between Mild Cognitive Impairment and Anti-Inflammatory/Pro-Inflammatory Nutrients in the Elderly in Northern China: A Bayesian Kernel Machine Regression Approach. [PDF]

J Inflamm Res, 2022
Li R, Zhan W, Huang X, Zhang L, Zhang Z, Zhou M, Wang Z, Ma Y.   +7 more
europepmc   +1 more source

Application of two statistical approaches (Bayesian Kernel Machine Regression and Principal Component Regression) to assess breast cancer risk in association to exposure to mixtures of brominated flame retardants and per- and polyfluorinated alkylated substances in the E3N cohort. [PDF]

Environ Health, 2022
Frenoy P, Perduca V, Cano-Sancho G, Antignac JP, Severi G, Mancini FR.   +5 more
europepmc   +1 more source

Optimizing genomic selection models for wheat breeding under contrasting water regimes in a mediterranean environment

Plant Methods
Background Bread wheat (Triticum aestivum L.) is a vital global crop, supplying 20% of the protein in the human diet. Improving its productivity and resilience, particularly under water-limited conditions, is a major breeding priority.
Venkata Rami Reddy Yannam, Marta S. Lopes, Jose Miguel Soriano   +2 more
doaj   +1 more source

Bridging exposure and disease: serum hormones as potential mediators between PBDEs and preeclampsia

BMC Pregnancy and Childbirth
Background Polybrominated diphenyl ethers (PBDEs) are associated with the development and function of the placenta, oxidative stress, and hormones vital for the pathogenesis of preeclampsia (PE). However, studies on the effects of PBDEs exposure on PE or
Jie He, Yudong Pu, Tianze Ding, Shuzhen He, Wenting Zhao, Shiwei Ai, Yuhui Dang   +6 more
doaj   +1 more source