Results 101 to 110 of about 5,107,449 (167)

Assessing the impact of air pollution on lung function in South Korea using Bayesian kernel machine regression

This study investigates the relationship between air pollution and lung function in the South Korean adult population using Bayesian Kernel Machine Regression (BKMR).
Tae-Young Heo, Eun-Ji Lee, Jae-Hwan Jhong, Narae Jo, Kim Young-Youl, Eunjin Kwon, Min Gu Kang   +6 more
core   +1 more source

Associations of prenatal fine particulate matter mixtures with neurodevelopmental outcomes in early childhood: component- and source-specific insights

Particle and Fibre Toxicology
This study investigates independent and joint effects of fine particulate matter (PM2.5) components on early childhood neurodevelopment and explores emission sources of key toxic components.
Haonan Li, Elizabeth A. Holzhausen, Devendra Paudel, Nathan D. Young, Jonatan Ottino-González, Frederick W. Lurmann, Douglas I. Walker, Howard H. Chang, Donghai Liang, Ravi Bansal, Michael I. Goran, Bradley S. Peterson, Tanya L. Alderete   +12 more
doaj   +1 more source

A Bayesian approach to parameter estimation for kernel density estimation via transformations [PDF]

In this paper, we present a Markov chain Monte Carlo (MCMC) simulation algorithm for estimating parameters in the kernel density estimation of bivariate insurance claim data via transformations.
David Pitt, Xueyuan Wu, Qing Liu, Xibin Zhang   +3 more
core  

Sparse Incremental Regression Modeling Using Correlation Criterion with Boosting Search

, 2005
A novel technique is presented to construct sparse generalized Gaussian kernel regression models. The proposed method appends regressors in an incremental modeling by tuning the mean vector and diagonal covariance matrix of individual Gaussian regressor ...
Wang, X.X., S. Chen, D. J. Brown, X. X. Wang, Chen, S., Brown, D.J.   +5 more
core   +1 more source

Consistency and robustness of kernel based regression [PDF]

We investigate properties of kernel based regression (KBR) methods which are inspired by the convex risk minimization method of support vector machines.
Christmann, Andreas, Steinwart, Ingo
core  

Block-Adaptive Kernel-Based CDMA Multiuser Detector

, 2002
The paper investigates the application of a recently introduced learning technique, called the relevance vector machine (RVM) to construct a block-adaptive kernel-based nonlinear multiuser detector (MUD) for direct-sequence code-division multiple-access (
Hanzo, L., Chen, S.
core   +1 more source

Software Application Profile: BKMR-CMA: a novel R command for Bayesian mediation analysis in environmental mixture studies. [PDF]

Int J Epidemiol
Chai Z, Domingo-Relloso A, Devick KL, Mazumndar M, Navas-Acien A, Coull BA, Valeri L.   +6 more
europepmc   +1 more source

Environmental Mixture-Health Associations: Current Analytical Practice and Reporting Recommendations. [PDF]

China CDC Wkly
Han X, Zhang Z, Guo Y, Fu S, Song Y, Wang D, Zhang T, Wu Z.   +7 more
europepmc   +1 more source

Correlation between perfluoroalkyl and polyfluoroalkyl substances and adult asthma in the NHANES. [PDF]

Medicine (Baltimore)
Shan T, Wu K, Jiang J.
europepmc   +1 more source

Association of Blood Heavy Metal Concentrations with Angiographic Coronary Artery Disease in a Consecutive Single-Center Cardiac Catheterization Cohort. [PDF]

Cardiovasc Toxicol
Taylor JD, Shah P, Specht A, Shah M, Duckett M, Locquiao C, Lizama K, Salem E, McKown H, Glynn P, Vidovich MI.   +10 more
europepmc   +1 more source