OpenAlex | Bayesian Approximate Kernel Regression With Variable Selection

Bayesian Approximate Kernel Regression With Variable Selection

Work

Year: 2017

Type: article

Abstract: Nonlinear kernel regression models are often used in statistics and machine learning because they are more accurate than linear models. Variable selection for kernel regression models is a challenge p... more

Source: Journal of the American Statistical Association

Authors Lorin Crawford, Kris C. Wood, Xiang Zhou, Sayan Mukherjee

Institutions Brown University, Duke University, University of Michigan–Ann Arbor

Cites: 58

Cited by: 42

Related to: 10

FWCI: 3.054

Citation percentile (by year/subfield): 100

Topic: Genetic and phenotypic traits in livestock

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders National Science Foundation, Foundation for the National Institutes of Health, Ovarian Cancer Research Fund, Alexander and Margaret Stewart Trust, V Foundation for Cancer Research +5 more

Grant IDS DGF-1106401, BOEH15AMP, Liz Tilberis Early Career Award, Stewart Trust Fellowship, V Scholar Award +5 more