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2020 – today
- 2024
[j5]Nada Cvetkovic
, Han Cheng Lie, Harshit Bansal, Karen Veroy:
Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 12(3): 723-758 (2024)- 2021
- [j4]Nada Cvetkovic, Tim Conrad, Han Cheng Lie:
A Convergent Discretization Method for Transition Path Theory for Diffusion Processes. Multiscale Model. Simul. 19(1): 242-266 (2021) - [i8]Han Cheng Lie, Martin Stahn, Timothy John Sullivan:
Randomised one-step time integration methods for deterministic operator differential equations. CoRR abs/2103.16506 (2021) - [i7]Han Cheng Lie:
Fréchet derivatives of expected functionals of solutions to stochastic differential equations. CoRR abs/2106.09149 (2021) - [i6]Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan:
Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems. CoRR abs/2108.04597 (2021) - [i5]Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan:
Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces. CoRR abs/2108.04598 (2021) - [i4]Han Cheng Lie, Daniel Rudolf, Björn Sprungk, Timothy John Sullivan:
Dimension-independent Markov chain Monte Carlo on the sphere. CoRR abs/2112.12185 (2021)
2010 – 2019
- 2019
- [j3]Han Cheng Lie, Andrew M. Stuart, Timothy John Sullivan:
Strong convergence rates of probabilistic integrators for ordinary differential equations. Stat. Comput. 29(6): 1265-1283 (2019) - [c2]Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Error Bounds for Some Approximate Posterior Measures in Bayesian Inference. ENUMATH 2019: 275-283 - [i3]Nada Cvetkovic, Tim O. F. Conrad, Han Cheng Lie:
Convergent discretisation schemes for transition path theory for diffusion processes. CoRR abs/1907.05799 (2019) - [i2]Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Error bounds for some approximate posterior measures in Bayesian inference. CoRR abs/1911.05669 (2019) - 2018
- [j2]Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 6(4): 1600-1629 (2018) - [c1]Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead:
Implicit Probabilistic Integrators for ODEs. NeurIPS 2018: 7255-7264 - 2017
- [i1]Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Random forward models and log-likelihoods in Bayesian inverse problems. CoRR abs/1712.05717 (2017) - 2013
- [j1]Han Cheng Lie, Konstantin Fackeldey, Marcus Weber:
A Square Root Approximation of Transition Rates for a Markov State Model. SIAM J. Matrix Anal. Appl. 34(2): 738-756 (2013)
Coauthor Index
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