Ouvrages publiés à titre de seul auteur (2)
  1. 1. Jansen, M. (2022). Wavelets from a Statistical Perspective. CRC Press.
  2. 2. Jansen, M. (2001). Noise Reduction by Wavelet Thresholding. Springer.
    3.   Ouvrages publiés en collaboration (1)
  3. 1. Jansen, M., & Oonincx, P. (2005). Second generation wavelets and applications. Springer.
    4.   Parties d'ouvrages collectifs (5)
  4. 1. Jansen, M., & Claeskens, G. (2024). Nonparametric estimation. In M. Lovric (Ed.), International Encyclopedia of Statistical Science.
  5. 2. Jansen, M., & Claeskens, G. (2024). The Cramér-Rao Lower Bound. In M. Lovric (Ed.), International Encyclopedia of Statistical Science.
  6. 3. Jansen, M. (2019). Sparsity. In Wiley StatsRef: Statistics Reference Online. Wiley.
  7. 4. Claeskens, G., & Jansen, M. (2015). Model selection and model averaging. In J. D. Wright (Ed.), International Encyclopedia of Social and Behavioral Sciences (2 ed., pp. 647-652). Elsevier. doi:10.1016/B978-0-08-097086-8.42057-X
  8. 5. Jansen, M. (2014). Multiscale local polynomial models for estimation and testing. In Akritas, Lahiri, & Politis (Eds.), Topics in NonParametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics, Vol. 74. Springer Proceedings in Mathematics and Statistics (pp. 155-166). Springer.
    9.   Articles dans des revues avec comité de lecture (44)
  9. 1. Bhattacharya, S., Lefèvre, L., Chatzistergos, T., Hayakawa, H., & Jansen, M. (2024). RudolfWolf to AlfredWolfer: The Transfer of the Reference Observer in the International Sunspot Number Series (1876–1893). Solar physics, 299, 45.
  10. 2. Jansen, M. (2024). Information criteria for structured parameter selection in high dimensional tree and graph models. Digital signal processing, 148, 104437.
  11. 3. Claeskens, G., & Jansen, M. (2023). Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models. Test, 32(4), 1177-1179. doi:10.1007/s11749-023-00896-5
  12. 4. Claeskens, G., Jansen, M., & Zhou, J. (2023). Discussion on: ``A scale-free approach for false discovery rate control in generalized linear models'' by Dai, Lin, Zing, Liu. Journal of the American Statistical Association, 118(543), 1573-1577.
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