Artikel
High dimensional, robust, unsupervised record linkage
We develop a technique for record linkage on high dimensional data, where the two datasets may not have any common variable, and there may be no training set available. Our methodology is based on sparse, high dimensional principal components. Since large and high dimensional datasets are often prone to outliers and aberrant observations, we propose a technique for estimating robust, high dimensional principal components. We present theoretical results validating the robust, high dimensional principal component estimation steps, and justifying their use for record linkage. Some numeric results and remarks are also presented.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Statistics in Transition New Series ; ISSN: 2450-0291 ; Volume: 21 ; Year: 2020 ; Issue: 4 ; Pages: 123-143 ; New York: Exeley
- Subject
-
record linkage
principal components
high dimensional
robust
- Event
-
Geistige Schöpfung
- (who)
-
Bera, Sabyasachi
Chatterjee, Snigdhansu
- Event
-
Veröffentlichung
- (who)
-
Exeley
- (where)
-
New York
- (when)
-
2020
- DOI
-
doi:10.21307/stattrans-2020-034
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Bera, Sabyasachi
- Chatterjee, Snigdhansu
- Exeley
Time of origin
- 2020
Other Objects (12)
ROBUST REGRESSION IN MONTHLY BUSINESS SURVEY
Robust Bayesian insurance premium in a collective risk model with distorted priors under the generalised Bregman loss
A comparison of area level and unit level small area models in the presence of linkage errors
Robust estimation of wages in small enterprises: the application to Poland’s districts
Multi-domain Neyman-Tchuprov optimal allocation
SMALL AREA ESTIMATION FOR SKEWED DATA IN THE PRESENCE OF ZEROES
THE OFFICE FOR NATIONAL STATISTICS EXPERIENCE OF COLLECTING AND MEASURING SUBJECTIVE WELL-BEING
CHANNEL PERFORMANCE UNDER VENDOR MANAGED CONSIGNMENT INVENTORY CONTRACT WITH ADDITIVE STOCHASTIC DEMAND
Rejoinder
POLICY-ORIENTED INFERENCE AND THE ANALYST-CLIENT COOPERATION. AN EXAMPLE FROM SMALL-AREA STATISTICS
Measurement of enterprise mobility among size classes, taking into account business demography
APPLICATION OF THE STRATEGY COMBINING MONETARY UNIT SAMPLING AND THE HORVITZ– THOMPSON ESTIMATOR OF ERROR AMOUNT IN AUDITING – RESULTS OF A SIMULATION STUDY
ROBUST REGRESSION IN MONTHLY BUSINESS SURVEY
Robust Bayesian insurance premium in a collective risk model with distorted priors under the generalised Bregman loss
A comparison of area level and unit level small area models in the presence of linkage errors
Robust estimation of wages in small enterprises: the application to Poland’s districts
Multi-domain Neyman-Tchuprov optimal allocation
SMALL AREA ESTIMATION FOR SKEWED DATA IN THE PRESENCE OF ZEROES
THE OFFICE FOR NATIONAL STATISTICS EXPERIENCE OF COLLECTING AND MEASURING SUBJECTIVE WELL-BEING
CHANNEL PERFORMANCE UNDER VENDOR MANAGED CONSIGNMENT INVENTORY CONTRACT WITH ADDITIVE STOCHASTIC DEMAND
Rejoinder
POLICY-ORIENTED INFERENCE AND THE ANALYST-CLIENT COOPERATION. AN EXAMPLE FROM SMALL-AREA STATISTICS
Measurement of enterprise mobility among size classes, taking into account business demography
APPLICATION OF THE STRATEGY COMBINING MONETARY UNIT SAMPLING AND THE HORVITZ– THOMPSON ESTIMATOR OF ERROR AMOUNT IN AUDITING – RESULTS OF A SIMULATION STUDY
ROBUST REGRESSION IN MONTHLY BUSINESS SURVEY
Robust Bayesian insurance premium in a collective risk model with distorted priors under the generalised Bregman loss
A comparison of area level and unit level small area models in the presence of linkage errors
Robust estimation of wages in small enterprises: the application to Poland’s districts
Multi-domain Neyman-Tchuprov optimal allocation
SMALL AREA ESTIMATION FOR SKEWED DATA IN THE PRESENCE OF ZEROES
THE OFFICE FOR NATIONAL STATISTICS EXPERIENCE OF COLLECTING AND MEASURING SUBJECTIVE WELL-BEING
CHANNEL PERFORMANCE UNDER VENDOR MANAGED CONSIGNMENT INVENTORY CONTRACT WITH ADDITIVE STOCHASTIC DEMAND
Rejoinder
POLICY-ORIENTED INFERENCE AND THE ANALYST-CLIENT COOPERATION. AN EXAMPLE FROM SMALL-AREA STATISTICS
Measurement of enterprise mobility among size classes, taking into account business demography