Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches
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BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORS.Environmental risk score as a new tool to examine multi-pollutants in epidemiologic research: an example from the NHANES study using serum lipid levels.Incorporating auxiliary information for improved prediction using combination of kernel machinesA Small-Sample Choice of the Tuning Parameter in Ridge Regression.Combining parametric, semi-parametric, and non-parametric survival models with stacked survival models.
P2860
Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches
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2012 nî lūn-bûn
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2012年の論文
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name
Incorporating auxiliary inform ...... semble of shrinkage approaches
@ast
Incorporating auxiliary inform ...... semble of shrinkage approaches
@en
type
label
Incorporating auxiliary inform ...... semble of shrinkage approaches
@ast
Incorporating auxiliary inform ...... semble of shrinkage approaches
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prefLabel
Incorporating auxiliary inform ...... semble of shrinkage approaches
@ast
Incorporating auxiliary inform ...... semble of shrinkage approaches
@en
P2093
P2860
P356
P1433
P1476
Incorporating auxiliary inform ...... semble of shrinkage approaches
@en
P2093
Bhramar Mukherjee
Jeremy M G Taylor
Philip S Boonstra
P2860
P304
P356
10.1093/BIOSTATISTICS/KXS036
P577
2012-10-19T00:00:00Z