Daniel Oberski

Affiliations: 
2011 Tilburg University, Tilburg, Noord-Brabant, Netherlands 
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"Daniel Oberski"

Parents

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Albert 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
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