- Docente: Edoardo Redivo
- Credits: 6
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)
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from Nov 11, 2024 to Dec 17, 2024
Learning outcomes
At the end of the course the student will know the methods for linking the information referred to the same statistical unit. This information belongs to different archives and the statistical unit is not identified by means of a code free of errors. The student will be able to use the exact matching, by means of deterministic and probabilistic record linkage and the basic tools of statistical matching.
Course contents
- The statistical formalisation of the record linkage problem
- Deterministic record linkage
- String similarity functions
- Blocking
- Fellegi-Sunter procedure
- Latent class model and its estimation via the EM algorithm
- Record linkage as an assignment problem
- Supervised classification for record linkage tasks
- More recent developments and Bayesian models for record linkage
Readings/Bibliography
Christen, P. (2012). Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer. ISBN: 978-3-642-43001-5.
Herzog, N., Scheuren, F. J., Winkler, W. E. (2007). Data Quality and Record Linkage Techniques. Springer. ISBN: 978-0-387-69502-0.
Binette, O., Steorts R. (2022). (Almost) All of Entity Resolution. Science Advances 8 (12): https://doi.org/10.1126/sciadv.abi8021.
Teaching methods
Lectures and tutorials in R.
To participate in computer lab sessions, students must complete Modules 1 and 2 of health and safety training, available as online courses.
Assessment methods
Written exam with the use of R that covers both practical and theoretical exercises.
Paper notes and resources are allowed, while electronic and online resources are not.
Teaching tools
Slides and blackboard.
Office hours
See the website of Edoardo Redivo