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Robert Garrard

Personal Details

First Name:Robert
Middle Name:
Last Name:Garrard
Suffix:
RePEc Short-ID:pga925

Affiliation

(90%) Commonwealth Scientific and Industrial Research Organisation (CSIRO) (Commonwealth Scientific and Industrial Research Organisation)

http://www.csiro.au
Australia

(10%) School of Economics and Public Policy
University of Adelaide

Adelaide, Australia
https://able.adelaide.edu.au/economics-and-public-policy/
RePEc:edi:decadau (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Sarah Cornell-Farrow & Robert Garrard, 2018. "Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from Australia," Papers 1807.07215, arXiv.org, revised Jan 2020.
  2. Firmin Doko Tchatoka & Robert Garrard & Virginie Masson, 2017. "Testing for Stochastic Dominance in Social Networks," School of Economics and Public Policy Working Papers 2017-02, University of Adelaide, School of Economics and Public Policy.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Sarah Cornell-Farrow & Robert Garrard, 2018. "Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from Australia," Papers 1807.07215, arXiv.org, revised Jan 2020.

    Cited by:

    1. Paolo Cimbali & Marco De Leonardis & Alessio Fiume & Barbara La Ganga & Luciana Meoli & Marco Orlandi, 2022. "A decision-making rule to detect insufficient data quality: an application of statistical learning techniques to the non-performing loans banking data?," Questioni di Economia e Finanza (Occasional Papers) 666, Bank of Italy, Economic Research and International Relations Area.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2018-08-20. Author is listed
  2. NEP-ECM: Econometrics (1) 2017-03-12. Author is listed
  3. NEP-EDU: Education (1) 2018-08-20. Author is listed
  4. NEP-ORE: Operations Research (1) 2017-03-12. Author is listed
  5. NEP-URE: Urban and Real Estate Economics (1) 2018-08-20. Author is listed

Corrections

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