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Silvia Bozza

Personal Details

First Name:Silvia
Middle Name:
Last Name:Bozza
Suffix:
RePEc Short-ID:pbo1154
[This author has chosen not to make the email address public]

Affiliation

Dipartimento di Economia
Università Ca' Foscari Venezia

Venezia, Italy
http://www.unive.it/dip.economia
RePEc:edi:dsvenit (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Silvia Bozza & Franco Taroni, 2016. "Posterior likelihood ratios for evaluation of forensic trace evidence given a two-level model on the data by Alberink et al. (2013)," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(8), pages 1561-1563, June.
  2. Silvia Bozza & Franco Taroni & Raymond Marquis & Matthieu Schmittbuhl, 2008. "Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(3), pages 329-341, June.

Citations

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Articles

  1. Silvia Bozza & Franco Taroni & Raymond Marquis & Matthieu Schmittbuhl, 2008. "Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(3), pages 329-341, June.

    Cited by:

    1. Ivo Alberink & Annabel Bolck & Sonja Menges, 2013. "Posterior likelihood ratios for evaluation of forensic trace evidence given a two-level model on the data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(12), pages 2579-2600, December.
    2. Jan Hannig & Hari Iyer, 2022. "Testing for calibration discrepancy of reported likelihood ratios in forensic science," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 267-301, January.
    3. Jonathan J. Koehler, 2011. "If the Shoe Fits They Might Acquit: The Value of Forensic Science Testimony," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(s1), pages 21-48, December.
    4. Christopher Galbraith & Padhraic Smyth & Hal S. Stern, 2020. "Quantifying the association between discrete event time series with applications to digital forensics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1005-1027, June.

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