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Håkon Hoel
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2020 – today
- 2024
- [j10]Nadhir Ben Rached, Håkon Hoel, Johannes Vincent Meo:
A fast and accurate numerical method for the left tail of sums of independent random variables. Stat. Comput. 34(6): 202 (2024) - [i7]Sankarasubramanian Ragunathan, Håkon Andreas Hoel:
Higher-order spring-coupled multilevel Monte Carlo method for invariant measures. CoRR abs/2403.06310 (2024) - [i6]Nadhir Ben Rached, Håkon Hoel, Johannes Vincent Meo:
A Fast and Accurate Numerical Method for the Left Tail of Sums of Independent Random Variables. CoRR abs/2405.01465 (2024) - 2022
- [j9]Håkon Hoel
, Gaukhar Shaimerdenova, Raúl Tempone:
Multi-index ensemble Kalman filtering. J. Comput. Phys. 470: 111561 (2022) - [j8]Neil K. Chada, Håkon Hoel
Improved Efficiency of Multilevel Monte Carlo for Stochastic PDE through Strong Pairwise Coupling. J. Sci. Comput. 93(2): 62 (2022) - [i5]Håkon Hoel, Sankarasubramanian Ragunathan:
Higher-order adaptive methods for exit times of Itô diffusions. CoRR abs/2208.11288 (2022) - 2021
- [j7]Alexey Chernov, Håkon Hoel
Multilevel ensemble Kalman filtering for spatio-temporal processes. Numerische Mathematik 147(1): 71-125 (2021) - [i4]Abdul-Lateef Haji-Ali, Håkon Hoel, Raúl Tempone:
A simple approach to proving the existence, uniqueness, and strong and weak convergence rates for a broad class of McKean-Vlasov equations. CoRR abs/2101.00886 (2021) - [i3]Håkon Hoel, Gaukhar Shaimerdenova
Multi-index ensemble Kalman filtering. CoRR abs/2104.07263 (2021) - [i2]Neil K. Chada, Håkon Hoel, Ajay Jasra
Improved efficiency of multilevel Monte Carlo for stochastic PDE through strong pairwise coupling. CoRR abs/2108.00794 (2021) - 2020
- [i1]Håkon Hoel, Gaukhar Shaimerdenova
Multilevel Ensemble Kalman Filtering with local-level Kalman gains. CoRR abs/2002.00480 (2020)
2010 – 2019
- 2019
- [j6]Håkon Hoel
Central limit theorems for multilevel Monte Carlo methods. J. Complex. 54 (2019) - 2016
- [j5]Håkon Hoel
Multilevel ensemble Kalman filtering. SIAM J. Numer. Anal. 54(3): 1813-1839 (2016) - [j4]Eric Joseph Hall
Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data. SIAM J. Sci. Comput. 38(6) (2016) - 2014
- [j3]Håkon Hoel
Implementation and analysis of an adaptive multilevel Monte Carlo algorithm. Monte Carlo Methods Appl. 20(1): 1-41 (2014) - [j2]Christian Bayer
On NonAsymptotic Optimal Stopping Criteria in Monte Carlo Simulations. SIAM J. Sci. Comput. 36(2) (2014) - [j1]Håkon Hoel
An Extension of Clarke's Model With Stochastic Amplitude Flip Processes. IEEE Trans. Commun. 62(7): 2378-2389 (2014) - [c1]Håkon Hoel
Construction of a Mean Square Error Adaptive Euler-Maruyama Method With Applications in Multilevel Monte Carlo. MCQMC 2014: 29-86
Coauthor Index
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