Daniel Oberski
Affiliations: | 2011 | Tilburg University, Tilburg, Noord-Brabant, Netherlands |
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"Daniel Oberski"Parents
Sign in to add mentorAlbert Satorra Brucart | grad student | 2011 | |
Jacques A. P. | grad student | 2011 | |
Willem Saris | grad student | 2011 | Tilburg University |
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Publications
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Pankowska PK, Pavlopoulos D, Bakker BFM, et al. (2020) Reconciliation of inconsistent data sources using hidden Markov models Statistical Journal of the Iaos. 1-20 |
Pankowska P, Bakker BFM, Oberski DL, et al. (2019) How Linkage Error Affects Hidden Markov Model Estimates: A Sensitivity Analysis Journal of Survey Statistics and Methodology. 8: 483-512 |
van Erp S, Mulder J, Oberski DL. (2017) Prior Sensitivity Analysis in Default Bayesian Structural Equation Modeling. Psychological Methods |
Boeschoten L, Oberski D, Waal Td. (2017) Estimating Classification Errors under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC) Journal of Official Statistics. 33: 921-962 |
Oberski DL, Kirchner A, Eckman S, et al. (2017) Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models Journal of the American Statistical Association. 112: 1477-1489 |
Molenaar D, Oberski D, Vermunt J, et al. (2016) Hidden Markov Item Response Theory Models for Responses and Response Times. Multivariate Behavioral Research. 1-21 |
Nagelkerke E, Oberski DL, Vermunt JK. (2016) Goodness-of-fit of Multilevel Latent Class Models for Categorical Data Sociological Methodology. 46: 252-282 |
Oberski DL, Hagenaars JA, Saris WE. (2015) The latent class multitrait-multimethod model. Psychological Methods. 20: 422-43 |
Oberski DL, Vermunt JK, Moors GBD. (2015) Evaluating Measurement Invariance in Categorical Data Latent Variable Models with the EPC-Interest Political Analysis. 23: 550-563 |
Bakk Z, Oberski DL, Vermunt JK. (2014) Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference Political Analysis. 22: 520-540 |