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"Robust regression using probabilistically linked data" by Ray L. Chambers, Enrico Fabrizi et al.

There is growing interest in a data integration approach to survey sampling, particularly where population registers are linked for sampling and subsequent analysis. The reason for doing this is simple: it is only by linking the same individuals in the different sources that it becomes possible to create a data set suitable for analysis. But data linkage is not error free. Many linkages are nondeterministic, based on how likely a linking decision corresponds to a correct match, that is, it bring...
Computational Methods Maximum Likelihood Methods Statistical Learning Exploratory Methods Data Sciences Modeling Methods Statistical Graphical Methods
Source: uow.edu.au

OGC Seeks Public Comment on Standard for Encoding Linked Data Graphs in netCDF Files

NetCDF-LD provides the encoding standard for encoding linked data semantics into netCDF files and interpreting netCDF files as RDF graphs, enhancing data findability and re-use. Contact: info@ogc.org 25 April 2022: The Open Geospatial Consortium (OGC) seeks public comment on the candidate OGC Encoding Linked Data Graphs in netCDF Files Standard (netCDF-LD). NetCDF-LD is an approach for
Geospatial Consortium World Wide Web Consortium Convention For Data Discovery Linked Data Graphs Open Geospatial Consortium Linked Data

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Data Matters short-course series returns in August 2021

Posted August 3rd, 2021 for RENCI Published: August 3, 2021 Annual short-course series aims to bridge the data literacy gap Now in its eighth year, Data Matters 2021, a week-long series of one and two-day courses aimed at students and professionals in business, research, and government, will take place August 9 – 13 virtually via Zoom. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill , the National Consortium for Data ...
Alison Blaine Jonathan Duggins Shannon Mckeen Jim Balhoff Odum Institute For Research Nc State University

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