Barbara La Ganga
Personal Details
First Name: | Barbara |
Middle Name: | |
Last Name: | La Ganga |
Suffix: | |
RePEc Short-ID: | pla1075 |
| |
Affiliation
Banca d'Italia
Roma, Italyhttp://www.bancaditalia.it/
RePEc:edi:bdigvit (more details at EDIRC)
Research output
Jump to: Working papersWorking papers
- 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.
- Paolo Cimbali & Marco De Leonardis & Alessio Fiume & Barbara La Ganga & Luciana Meoli & Marco Orlandi, 2023. "A decision-making rule to detect insufficient data quality - an application of statistical learning techniques to the non-performing loans banking data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Post-pandemic landscape for central bank statistics, volume 58, Bank for International Settlements.
- Fabio Zambuto & Maria Rosaria Buzzi & Giuseppe Costanzo & Marco Di Lucido & Barbara La Ganga & Pasquale Maddaloni & Fabio Papale & Emiliano Svezia, 2020.
"Quality checks on granular banking data: an experimental approach based on machine learning?,"
Questioni di Economia e Finanza (Occasional Papers)
547, Bank of Italy, Economic Research and International Relations Area.
- Fabio Zambuto, 2021. "Quality checks on granular banking data: an experimental approach based on machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53, Bank for International Settlements.
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
- Fabio Zambuto & Maria Rosaria Buzzi & Giuseppe Costanzo & Marco Di Lucido & Barbara La Ganga & Pasquale Maddaloni & Fabio Papale & Emiliano Svezia, 2020.
"Quality checks on granular banking data: an experimental approach based on machine learning?,"
Questioni di Economia e Finanza (Occasional Papers)
547, Bank of Italy, Economic Research and International Relations Area.
- Fabio Zambuto, 2021. "Quality checks on granular banking data: an experimental approach based on machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53, Bank for International Settlements.
Cited by:
- Pasquale Maddaloni & Davide Nicola Continanza & Andrea del Monaco & Daniele Figoli & Marco di Lucido & Filippo Quarta & Giuseppe Turturiello, 2022.
"Stacking machine-learning models for anomaly detection: comparing AnaCredit to other banking datasets,"
Questioni di Economia e Finanza (Occasional Papers)
689, Bank of Italy, Economic Research and International Relations Area.
- Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello, 2023. "Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59, Bank for International Settlements.
- Vittoria La Serra & Emiliano Svezia, 2024. "A supervised record linkage approach for anomaly detection in insurance assets granular data," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4181-4205, October.
- Massimo Casa & Laura Graziani Palmieri & Laura Mellone & Francesca Monacelli, 2022. "The integrated approach adopted by Bank of Italy in the collection and production of credit and financial data," Questioni di Economia e Finanza (Occasional Papers) 667, Bank of Italy, Economic Research and International Relations Area.
- Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2021. "Learning from revisions: a tool for detecting potential errors in banks' balance sheet statistical reporting," Questioni di Economia e Finanza (Occasional Papers) 611, Bank of Italy, Economic Research and International Relations Area.
- Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2022. "Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4025-4059, December.
- Fabio Zambuto & Simona Arcuti & Roberto Sabatini & Daniele Zambuto, 2021. "Application of classification algorithms for the assessment of confirmation to quality remarks," Questioni di Economia e Finanza (Occasional Papers) 631, Bank of Italy, Economic Research and International Relations Area.
More information
Research fields, statistics, top rankings, if available.Statistics
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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.- NEP-CMP: Computational Economics (2) 2020-04-06 2022-02-21. Author is listed
- NEP-BIG: Big Data (1) 2020-04-06. Author is listed
- NEP-PAY: Payment Systems and Financial Technology (1) 2020-04-06. Author is listed
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