Skip to main content

Advertisement

Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data

Article metrics

The original article was published in EPJ Data Science 2017 6:3

Erratum

Upon publication of the original article [1], it was noticed that in the Availability of data materials section, the link to the code ‘https://github.com/eamanj/demographics_prediction’ was incorrectly given as ‘https://github.edu/eamanj/demographics_prediction’. This has now been acknowledged and corrected in this erratum.

References

  1. 1.

    Jahani E, Sundsøy P, Bjelland J, Bengtsson L, de Montjoye YA (2017) Improving official statistics in emerging markets using machine learning and mobile phone data. EPJ Data Sci 6:1. doi:10.1140/epjds/s13688-017-0099-3

Download references

Author information

Correspondence to Eaman Jahani.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The online version of the original article can be found under doi:10.1140/epjds/s13688-017-0099-3.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark