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List of Meetings and Events - All


Workshop on Statistical Data Editing

15 - 17 April 2020

Geneva, Switzerland

Templates for paper: docx, odt and tex

Document Title Documents Presentations
ENG ENG
Information Notice 1 PDF -
Information Notice 2 PDF -
Provisional Programme DOC -
Keynote presentation 1
Recent advances in imputation methods
- Yves Tillé (University of Neuchâtel)
   
Keynote presentation 2
Statistical data cleaning for official statistics with R
- Mark van der Loo (Netherlands)
   
Topic (i) Methods: for machine learning and time series data, and new/emerging methods
Imputation methods based on administrative records such as electric power consumption
- Andrés Clavijo (Colombia)
Wage imputation with deep learning in the French Labor Force Survey
- Damien Babet (France)
Bayesian estimation of linear dynamic panel models with missing values
- Marcel Preising (Germany)
The UNECE High-Level-Group for the Modernisation of Official Statistics Machine Learning Project: A report of the Editing & Imputation Group
- Florian Dumpert (Germany)
ML to identify patterns behind errors in STS statistics
- Fabiana Rocci (Italy)
Improving training datasets for machine learning imputation
- Susie Jentoft (Norway)
Two-Phase Learning
- Tatsiana Pekarskaya (Norway)
NACE Activity Classification – Statistical Office of the Republic of Serbia
- Stefan Savic (Serbia)
Applications of machine learning in imputation
- Vinayak Anand-Kumar (UK)
Editing of social survey data
- Claus Sthamer (UK)
RBEIS: A robust nearest neighbour donor imputation system implemented in SAS
- Fern Leather (UK)
Topic (ii) Data: 2021 Census, administrative data, geospatial data, big data and other alternative data
Webscraped data for replacing and validating survey questions
- Alexander Kowarik (Austria)
An imputation procedure for the Italian attained level of education in the register of individuals based on administrative and survey data.
- Romina Filippini (Italy)
An overview of the editing and imputation process of the 2018 Italian Permanent Census
- Romina Filippini (Italy)
Use of administrative data and alternative data for census when applying modern technologies
- Janusz Dygaszewicz (Poland)
Measuring the effectiveness of cross-linking administrative data for population census 2020
- Jeslyn Tan (Singapore)
Data editing in the statistical register of employment
- Kaja Malešič (Slovenia)
Data editing in the statistical register of employment
- Kaja Malešič (Slovenia)
Imputation of an admin-based income variable linked to 2011 England and Wales Census data
- Anna Summerbell (UK)
Topic (iii) Quality: assessing data quality and indicators
Evaluating Imputation Methods using ImpACT: first case study
- Darren Gray (Canada)
Challenges and advancements in assessing data quality during the process for calculating criminal justice key indicators
- Inés Erandi Arce Hernández (Mexico)
Variance estimation after mass imputation with an application to the Dutch population Census
- Sander Scholtus (Netherlands)
Evaluating edit rules in web questionnaires with process data
- Magnus Ohlsson (Sweden)
Topic (iv) Processes: editing in a process-oriented set up, standardisation and meta-data driven processes
Standardised data cleaning process in Statistics Denmark
- Aksel Thomsen (Denmark)
Automation of E&I processes
- Kerstin Lange (Germany)
Implementing main types of International validation rules in national validation processes
- Olav ten Bosch (Netherlands)
Modern, process oriented and metadata driven statistical production
- Anna Długosz (Poland)
Building awareness of Editing and Imputation using the Generic Statistical Data Editing Model (GSDEM)
- Vinayak Anand-Kumar (UK)
Snow in winter, ice cream in summer: a seasonal approach to selective editing
- Siân Lloyd (UK)
Poster session
The imputation of the “Attained Level of Education” in the base register of individuals: an experimentation using Machine Learning techniques
- Romina Filippini (Italy)
Robust tools for data editing and imputation prepared in NSTAC
- WADA Kazumi (Japan)
Profile of Manufacturing Enterprises in Mexico
- Carlo Rodrigo López Carbajal (Mexico)
Advances in the standardization of homicide data registration and classification quality in Mexico
- Tania Helena García Pareja (Mexico)
Auto-classification of occupational data
- Jeremy Heng (Singapore)
Territorial preparation in census 2021
- Ludmila Ivancikova (Slovakia)