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Yao, L., Dimitrakopoulos, R., & Gamache, M. (2021). Learning high-order spatial statistics at multiple scales: A kernel-based stochastic simulation algorithm and its implementation. Computers & Geosciences, 149, 11 pages. Lien externe
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2021). Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics. Mathematical Geosciences, 53(7), 1469-1489. Lien externe
Yao, L. (2020). Developing New High-Order Sequential Simulation Methods Based on Learning-Oriented Kernels [Thèse de doctorat, Polytechnique Montréal]. Disponible
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2019). High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space. Mathematical Geosciences, 52(5), 693-723. Lien externe
Yao, L., Dimitrakopoulos, R., & Gamache, M. (2018). A new computational model of high-order stochastic simulation based on spatial Legendre moments. Mathematical Geosciences, 50(8), 929-960. Disponible
