References

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Guardiano, F. B., & Srivastava, R. M. (1993). Multivariate geostatistics: beyond bivariate moments. In Geostatistics Troia’92 (pp. 133-144). Springer, Dordrecht.

HANSEN2016

Hansen, T.M., Vu. L.T., and Bach, T. 2016. MPSLIB: A C++ class for sequential simulation of multiple-point statistical models, in SoftwareX, doi:10.1016/j.softx.2016.07.001. [pdf,www].

HANSEN2018

Hansen, T. M., Mosegaard, K., & Cordua, K. S. (2018). Multiple point statistical simulation using uncertain (soft) conditional data. Computers & geosciences, 114, 1-10. doi:10.1016/j.cageo.2018.01.017.

HANSEN2020

Hansen, T. M. Entropy and information content of geostatistical models (2020). Mathematical Geosciences: 1-22. doi:10.1007/s11004-020-09876-z <https://doi.org/10.1007/s11004-020-09876-z>.

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Jóhannsson, Óli D., O. and Hansen, T. M. (2021). Estimation using multiple-point statistics. Computers & Geosciences 156. doi:10.1016/j.cageo.2021.104894 <https://doi.org/10.1016/j.cageo.2021.104894>.

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Mariethoz, G., Renard, P., & Straubhaar, J. (2010). The direct sampling method to perform multiple‐point geostatistical simulations. Water Resources Research, 46(11).

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Straubhaar, J., Renard, P., Mariethoz, G., Froidevaux, R., & Besson, O. (2011). An improved parallel multiple-point algorithm using a list approach. Mathematical Geosciences, 43(3), 305-328.

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Strebelle, S. (2002). Conditional simulation of complex geological structures using multiple-point statistics. Mathematical geology, 34(1), 1-21.