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van der Palm, D. W., van der Ark, L. A., & Vermunt, J. K. (2016). Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data. Journal of Classification, 33(1), 52-72. https://doi.org/10.1007/s00357-016-9195-5 -
Koutroumpa, F. A., Groot, A. T., Dekker, T., & Heckel, D. G. (2016). Genetic mapping of male pheromone response in the European corn borer identifies candidate genes regulating neurogenesis. Proceedings of the National Academy of Sciences of the United States of America, 113(42), E6401-E6408. https://doi.org/10.1073/pnas.1610515113 -
Tamboer, P., Vorst, H. C. M., Ghebreab, S., & Scholte, H. S. (2016). Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia. NeuroImage: Clinical, 11, 508-514. https://doi.org/10.1016/j.nicl.2016.03.014 -
Buser, T., & Yuan, H. (2016). Do women give up Competing more easily? Evidence from the Lab and the Dutch Math Olympiad. (Tinbergen Institute Discussion Paper; No. 2016-096/I). Tinbergen Institute. https://doi.org/10.2139/ssrn.2867346 -
Guzi, M., Kabina, T., & Tijdens, K. G. (2016). Living Wages in Niger. WageIndicator Foundation. http://www.wageindicator.org/documents/publicationslist/publications-2016/guzi-m-kabina-k-tijdens-k-g-2016-living-wages-in-niger-amsterdam-wageindicator-foundation-en -
Agirdag, O., Phalet, K., & Van Houtte, M. (2016). European identity as a unifying category: National vs. European identification among native and immigrant pupils. European Union Politics, 17(2), 285-302. https://doi.org/10.1177/1465116515612216 -
Tackmann, F. J., Waalewijn, W. J., & Zeune, L. (2016). Impact of jet veto resummation on slepton searches. The Journal of High Energy Physics, 2016(7), Article 119. https://doi.org/10.1007/JHEP07(2016)119 -
Rouder, J. N., Morey, R. D., & Wagenmakers, E.-J. (2016). The interplay between subjectivity, statistical practice, and psychological science. Collabra, 2, Article 6. https://doi.org/10.1525/collabra.28
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