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Paradata and Bayesian networks: a tool for monitoring and troubleshooting the data production process

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  • Marco Ballin
  • Mauro Scanu
  • Paola Vicard

Abstract

The problem of monitoring and managing the data production process by means of process flow indicators is presented in a decision theory framework. Here it is shown how to represent and solve the decision problem via influence diagrams, i.e. Bayesian network supporting decisions. An illustrative example is provided.

Suggested Citation

  • Marco Ballin & Mauro Scanu & Paola Vicard, 2006. "Paradata and Bayesian networks: a tool for monitoring and troubleshooting the data production process," Departmental Working Papers of Economics - University 'Roma Tre' 0066, Department of Economics - University Roma Tre.
    • Handle: RePEc:rtr:wpaper:0066
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    File URL: http://host.uniroma3.it/dipartimenti/economia/pdf/wp66.pdf
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    Cited by:

    1. Ahfock, Daniel & Pyne, Saumyadipta & Lee, Sharon X. & McLachlan, Geoffrey J., 2016. "Partial identification in the statistical matching problem," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 79-90.

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    Keywords

    Expected utility; graphical models; probability update;
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