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ORCIDJulio Enrique Castrillón-Candás
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2020 – today
- 2024
[j9]Julio Enrique Castrillón-Candás
:
Spatial best linear unbiased prediction: a computational mathematics approach for high dimensional massive datasets. Adv. Comput. Math. 50(3): 37 (2024)- [j8]Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás:
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. IEEE Trans. Big Data 10(2): 122-131 (2024) - 2023
- [i7]Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás:
Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation. CoRR abs/2309.16068 (2023) - [i6]Trevor Norton, Jie Xu, Brian Choi, Mark A. Kon, Julio Enrique Castrillón-Candás:
Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains. CoRR abs/2309.16439 (2023) - 2022
- [j7]Julio Enrique Castrillón-Candás, Mark A. Kon:
Anomaly detection: A functional analysis perspective. J. Multivar. Anal. 189: 104885 (2022) - [i5]Julio Enrique Castrillón-Candás, Mark A. Kon:
Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection. CoRR abs/2207.06229 (2022) - 2021
- [j6]Julio Enrique Castrillón-Candás, Fabio Nobile, Raúl Tempone:
A hybrid collocation-perturbation approach for PDEs with random domains. Adv. Comput. Math. 47(3): 40 (2021) - [j5]Julio Enrique Castrillón-Candás, Jie Xu:
A stochastic collocation approach for parabolic PDEs with random domain deformations. Comput. Math. Appl. 93: 32-49 (2021) - [i4]Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás:
Existence of Strong Solution for the Complexified Non-linear Poisson Boltzmann Equation. CoRR abs/2106.05811 (2021) - [i3]Julio Enrique Castrillón-Candás, Dingning Liu, Mark A. Kon:
Stochastic functional analysis with applications to robust machine learning. CoRR abs/2110.01729 (2021) - [i2]Xiaoyu Wang, Wenrui Li, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás:
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. CoRR abs/2110.09680 (2021) - 2020
- [j4]Julio Enrique Castrillón-Candás, Mark A. Kon:
Analytic regularity and stochastic collocation of high-dimensional Newton iterates. Adv. Comput. Math. 46(3): 42 (2020)
2010 – 2019
- 2016
- [j3]Julio Enrique Castrillón-Candás, Fabio Nobile, Raúl Tempone:
Analytic regularity and collocation approximation for elliptic PDEs with random domain deformations. Comput. Math. Appl. 71(6): 1173-1197 (2016) - 2011
- [i1]Julio Enrique Castrillón-Candás, Jun Li, Victor Eijkhout:
A Discrete Adapted Hierarchical Basis Solver For Radial Basis Function Interpolation. CoRR abs/1104.2504 (2011)
2000 – 2009
- 2003
- [j2]Julio Enrique Castrillón-Candás, Kevin Amaratunga:
Spatially Adapted Multiwavelets and Sparse Representation of Integral Equations on General Geometries. SIAM J. Sci. Comput. 24(5): 1530-1566 (2003) - 2002
- [j1]Julio Enrique Castrillón-Candás, Kevin Amaratunga:
Fast estimation of continuous Karhunen-Loeve eigenfunctions using wavelets. IEEE Trans. Signal Process. 50(1): 78-86 (2002) - 2001
- [b1]Julio Enrique Castrillón-Candás:
Spatially adaptive multiwavelet representations on unstructured grids with applications to multidimensional computational modeling. Massachusetts Institute of Technology, Cambridge, MA, USA, 2001
Coauthor Index
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