| 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 | 214 | 2015 |
| 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 | 214 | 2015 |
| Social media sentiment and consumer confidence PJH Daas, MJH Puts ECB Statistics Paper, 2014 | 96 | 2014 |
| Selectivity of Big data B Buelens, P Daas, J Burger, M Puts, J van den Brakel Statistics Netherlands, 2014 | 50 | 2014 |
| Using the personal health train for automated and privacy-preserving analytics on vertically partitioned data J Van Soest, C Sun, O Mussmann, M Puts, B van den Berg, A Malic, ... Building Continents of Knowledge in Oceans of Data: The Future of Co-Created …, 2018 | 37 | 2018 |
| Big data as a source of statistical information P Daas, MJH Puts The Survey Statistician 69, 22-31, 2014 | 36 | 2014 |
| Finding errors in big data M Puts, P Daas, T de Waal Significance 12 (3), 26-29, 2015 | 29 | 2015 |
| Using huge amounts of road sensor data for official statistics CB Marco J. H. Puts, Piet J. H. Daas, Martijn Tennekes AIMS Mathematics 4 (1), 12-25, 2019 | 18* | 2019 |
| Using huge amounts of road sensor data for official statistics MJH Puts, PJH Daas, M Tennekes, C Blois | 18 | 2018 |
| Profiling of Twitter users: a big data selectivity study PJH Daas, JMS Burger, Q Le, O ten Bosch, M Puts Statistics Netherlands, 2016 | 13 | 2016 |
| Machine learning from the perspective of official statistic M Puts, P Daas The Survey Statistician 84, 12-17, 2021 | 9 | 2021 |
| Multivariate density estimation by neural networks DEW Peerlings, JA van den Brakel, N Baştürk, MJH Puts IEEE Transactions on Neural Networks and Learning Systems, 2022 | 8 | 2022 |
| From experimental to official statistics: The case of solar energy S De Broe, R Meijers, O ten Bosch, B Buelens, A Priem, B Laevens, ... Statistical Journal of the IAOS 35 (3), 371-385, 2019 | 7 | 2019 |
| Information extraction from social media: A linguistically motivated approach NHJ Oostdijk, A Hürriyetoğlu, MJH Puts, P Daas, APJ van den Bosch Paris, France: sn, 2016 | 7 | 2016 |
| Analyzing partitioned fair health data Responsibly C Sun, L Ippel, B Wouters, J van Soest, A Malic, O Adekunle, B Berg, ... arXiv preprint arXiv:1812.00991, 2018 | 6 | 2018 |
| Big Data as a Data Source for Official Statistics: experiences at Statistics Netherlands PJH Daas, M Puts, M Tennekes, A Priem The Survey Statistician, Proceedings of Statistics Canada Symposium, 2014 | 4 | 2014 |
| Big data and official statistics PJH Daas, MJ Puts, B Buelens, PAM van den Hurk Inaugural lecture, Eindhoven University of Technology, May 26, 2023 | 3 | 2023 |
| High frequency road sensor data for official statisitics M Puts, P Daas, M Tennekes New Techniques and Technologies for Statistics (NTTS 2015), Brussels, 2015 | 3 | 2015 |
| Unbiased Estimations Based on Binary Classifiers: A Maximum Likelihood Approach MJH Puts, PJH Daas arXiv preprint arXiv:2102.08659, 2021 | 2 | 2021 |
| Projection of road sensors to the Dutch road network M Tennekes, M Puts Technical report, 2018 | 2 | 2018 |
Piet J.H. DaasSenior methodologist at Statistics Netherlands and Prof. on Big Data in Official Statistics at TUeBestätigte E-Mail-Adresse bei cbs.nl
