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Results: 5
Number of items: 5
  • Open Access
    de Gunst, M., Hautphenne, S., Mandjes, M., & Sollie, B. (2021). Parameter estimation for multivariate population processes: a saddlepoint approach. Stochastic Models, 37(1), Article 168-196. https://doi.org/10.1080/15326349.2020.1832895
  • Open Access
    de Gunst, M., Knapik, B., Mandjes, M., & Sollie, B. (2019). Parameter estimation for a discretely observed population process under Markov-modulation. Computational Statistics and Data Analysis, 140, 88-103. https://doi.org/10.1016/j.csda.2019.06.008
  • Open Access
    Jansen, R., Timmerman, J., Loos, M., Spijker, S., van Ooyen, A., Brussaard, A. B., Mansvelder, H. D., The Neuro-BSIK Mouse Phenomics Consortium, Smit, A. B., de Gunst, M., & Linkenkaer-Hansen, K. (2011). Novel candidate genes associated with hippocampal oscillations. PLoS ONE, 6(10). https://doi.org/10.1371/journal.pone.0026586
  • Open Access
    Doelman, A., de Gunst, M., van der Hofstad, R., Moerdijk, I., van der Schaft, A., Stevenhagen, P., Wesseling, P., & Zandee, L. (2008). Concentratie & dynamiek: Een strategie voor de wiskunde. NWO Exacte Wetenschappen. http://www.nwo.nl/files.nsf/pages/NWOA_7EWN6N/$file/Wiskundestrategie%20mei%202008-def.pdf
  • de Gunst, M., Klaassen, C. A. J., & van der Vaart, A. (2001). State of the art in probability and statistics: Festschrift for Willem R. van Zwet (Leiden, 1999). (IMS Lecutre Notes - Monograph Series Vol. 36). Institute of Mathematical Statistics.
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