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The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-s...

The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-s...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2170082012

The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square

About this item

Full title

The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Probability theory and related fields, 2019-10, Vol.175 (1-2), p.487-558

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Logistic regression is used thousands of times a day to fit data, predict future outcomes, and assess the statistical significance of explanatory variables. When used for the purpose of statistical inference, logistic models produce
p
-values for the regression coefficients by using an approximation to the distribution of the likelihood-ratio...

Alternative Titles

Full title

The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2170082012

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2170082012

Other Identifiers

ISSN

0178-8051

E-ISSN

1432-2064

DOI

10.1007/s00440-018-00896-9

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