Big data as a source for official statistics PJH Daas, MJ Puts, B Buelens, PAM Hurk Journal of Official Statistics 31 (2), 249-262, 2015 | 230 | 2015 |
Disentangling mode-specific selection and measurement bias in social surveys B Schouten, J van den Brakel, B Buelens, J van der Laan, T Klausch Social Science Research 42 (6), 1555-1570, 2013 | 98 | 2013 |
Comparing inference methods for non‐probability samples B Buelens, J Burger, JA van den Brakel International Statistical Review 86 (2), 322-343, 2018 | 91 | 2018 |
Selectivity of Big data B Buelens, P Daas, J Burger, M Puts, J van den Brakel Statistics Netherlands Discussion Paper 201411, 2014 | 51 | 2014 |
Social media as a data source for official statistics; the Dutch Consumer Confidence Index J van den Brakel, E Söhler, P Daas, B Buelens Statistics Netherlands Discussion Paper, 2016 | 42 | 2016 |
Measurement error calibration in mixed-mode sample surveys B Buelens, JA van den Brakel Sociological Methods & Research, 2014 | 41 | 2014 |
The vanishing and appearing sources during a century of observations project. I. USNO objects missing in modern sky surveys and follow-up observations of a “Missing Star” B Villarroel, J Soodla, S Comerón, L Mattsson, K Pelckmans, ... The Astronomical Journal 159 (1), 8, 2019 | 39 | 2019 |
The overlooked potential of generalized linear models in astronomy–III. Bayesian negative binomial regression and globular cluster populations RS De Souza, JM Hilbe, B Buelens, JD Riggs, E Cameron, EEO Ishida, ... Monthly Notices of the Royal Astronomical Society 453 (2), 1928-1940, 2015 | 32 | 2015 |
Multivariate landscape analysis of honey bee winter mortality in Wallonia, Belgium L Van Esch, JL De Kok, L Janssen, B Buelens, L De Smet, DC de Graaf, ... Environmental Modeling & Assessment 25, 441-452, 2020 | 23 | 2020 |
Shifting paradigms in official statistics: From design-based to model-based to algorithmic inference B Buelens, HJ Boonstra, J van den Brakel, P Daas Discussion paper 201218, 2012 | 23 | 2012 |
Towards small area estimation at Statistics Netherlands HJ Boonstra, J van den Brakel, B Buelens, S Krieg, M Smeets Metron - International Journal of Statistics 66 (1), 21-49, 2008 | 22* | 2008 |
Kernel methods for the detection and classification of fish schools in single-beam and multibeam acoustic data B Buelens, T Pauly, R Williams, A Sale ICES Journal of Marine Science 66 (6), 1130-1135, 2009 | 20 | 2009 |
A quality framework for statistical algorithms W Yung, SM Tam, B Buelens, H Chipman, F Dumpert, G Ascari, F Rocci, ... Statistical Journal of the IAOS 38 (1), 291-308, 2022 | 19 | 2022 |
Adjusting measurement bias in sequential mixed-mode surveys using re-interview data T Klausch, B Schouten, B Buelens, J Van Den Brakel Journal of Survey Statistics and Methodology 5 (4), 409-432, 2017 | 19 | 2017 |
Early versus late respondents in web surveys: Evidence from a national health survey J Klingwort, B Buelens, R Schnell Statistical Journal of the IAOS, 1-11, 2018 | 16 | 2018 |
Mixed-mode official surveys: Design and analysis B Schouten, J van den Brakel, B Buelens, D Giesen, A Luiten, V Meertens Chapman and Hall/CRC, 2021 | 15 | 2021 |
Comparing two inferential approaches to handling measurement error in mixed-mode surveys B Buelens, JA Van den Brakel Journal of official statistics 33 (2), 513-531, 2017 | 14 | 2017 |
Predictive inference for non-probability samples: a simulation study B Buelens, J Burger, J van den Brakel Statistics Netherlands Discussion Paper 2015 (201513), 2015 | 14 | 2015 |
Model inversion for midwater multibeam backscatter data analysis B Buelens, R Williams, A Sale, T Pauly Oceans 2005-Europe 1, 431-435, 2005 | 13 | 2005 |
Assessing the solid protocol in relation to security and privacy obligations C Esposito, R Horne, L Robaldo, B Buelens, E Goesaert Information 14 (7), 411, 2023 | 12 | 2023 |