In: Future internet, 2021, vol. 13, no. 9, p. 12
As part of studies that employ health electronic records databases, this paper advocates the employment of graph theory for investigating drug-switching behaviors. Unlike the shared approach in this field (comparing groups that have switched with control groups), network theory can provide information about actual switching behavior patterns. After a brief and simple introduction to...
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In: Journal of computational science, 2021, vol. 53, p. 13
The ℓ1-regularized Gaussian maximum likelihood method is a common approach for sparse precision matrix estimation, but one that poses a computational challenge for high-dimensional datasets. We present a novel ℓ1- regularized maximum likelihood method for performant large-scale sparse precision matrix estimation utilizing the block structures in the underlying computations. We identify the...
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In: Journal of computational physics, 2021, vol. 428, p. 15 p
In this article, we consider fast direct solvers for nonlocal operators. The pivotal idea is to combine a wavelet representation of the system matrix, yielding a quasi- sparse matrix, with the nested dissection ordering scheme. The latter drastically reduces the fill-in during the factorization of the system matrix by means of a Cholesky decomposition or an LU decomposition, respectively. This...
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Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO013.
Recent years have seen the rapid growth in interest towards fractional calculus. Fractional calculus plays an important role in modelling anomalous diffusion phenomena, however closed-form analytical solutions of such equations are rarely available, hence numerical estimates are needed. In this thesis we consider various fractional diffusion equations (FDEs), where different fractional ...
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In: Bioinformatics, 2018, vol. 34, no. 14, p. 2483-2484
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In: Biostatistics, 2018, vol. 19, no. 2, p. 153-168
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In: The International Journal of Life Cycle Assessment, 2015, vol. 20, no. 10, p. 1359-1363
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In: International Journal of Computer Vision, 2015, vol. 114, no. 2-3, p. 306-321
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In: Mathematical Geosciences, 2015, vol. 47, no. 7, p. 771-789
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In: Annals of Biomedical Engineering, 2015, vol. 43, no. 5, p. 1247-1259
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