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Track 1
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Machine Learning /Artificial Intelligence for editing and imputation
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Modernisation of data editing and statistical production
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Use of administrative data for editing and imputation
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Quality
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Imputation (for ‘Covid-19 mass nonresponse‘) and variance
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Use of Deep Learning on Big Data and synchronize it with editing and imputation
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Statistical data editing and pre-processing of new digital data for statistical purposes
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Infrastructure needed for open source statistical data editing packages
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Selection bias and statistical data editing
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Missing prices and outlying price data
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New and emerging methods
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