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A note on large-scale logistic prediction: using an approximate graphical model to deal with collinearity and missing data

Overview of attention for article published in Behaviormetrika, June 2017
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Title
A note on large-scale logistic prediction: using an approximate graphical model to deal with collinearity and missing data
Published in
Behaviormetrika, June 2017
DOI 10.1007/s41237-017-0024-x
Authors

Maarten Marsman, Lourens Waldorp, Gunter Maris

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Student > Postgraduate 1 11%
Student > Master 1 11%
Unknown 4 44%
Readers by discipline Count As %
Psychology 3 33%
Business, Management and Accounting 1 11%
Economics, Econometrics and Finance 1 11%
Unknown 4 44%