• Corpus ID: 237108357

Covariate Selection Based on a Assumpton-free Approach to Linear Regression with Exact Probabilities

@inproceedings{Davies2019CovariateSB,
  title={Covariate Selection Based on a Assumpton-free Approach to Linear Regression with Exact Probabilities},
  author={Laurie Davies and Lutz Dumbgen},
  year={2019}
}
In this paper we give a completely new approach to the problem of covariate selection in linear regression. A covariate or a set of covariates is included only if it is better in the sense of least squares than the same number of Gaussian covariates consisting of i.i.d. N(0, 1) random variables. The Gaussian P-value is defined as the probability that the Gaussian covariates are better. It is given in terms of the Beta distribution, it is exact and it holds for all data. The covariate selection… 

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