Hanne Kekkonen
Hanne Kekkonen
Assistant professor, TU Delft, Netherlands
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
Analysis of regularized inversion of data corrupted by white Gaussian noise
H Kekkonen, M Lassas, S Siltanen
Inverse problems 30 (4), 045009, 2014
182014
Posterior consistency and convergence rates for Bayesian inversion with hypoelliptic operators
H Kekkonen, M Lassas, S Siltanen
Inverse Problems 32 (8), 085005, 2016
152016
Large noise in variational regularization
M Burger, T Helin, H Kekkonen
Transactions of mathematics and its applications 2 (1), tny002, 2018
92018
Bernstein--von Mises Theorems and Uncertainty Quantification for Linear Inverse Problems
M Giordano, H Kekkonen
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 342-373, 2020
82020
Corrigendum: Analysis of regularized inversion of data corrupted by white Gaussian noise (2014 Inverse Problems 30 045009)
H Kekkonen, M Lassas, S Siltanen
Inverse Problems 32 (9), 099501, 2016
32016
Consistency of Bayesian inference with Gaussian process priors for a parabolic inverse problem
H Kekkonen
arXiv preprint arXiv:2103.13213, 2021
22021
Bayesian inverse problems
H Kekkonen
12019
Convergence rates and uncertainty quantification for inverse problems
H Kekkonen
Helsingin yliopisto, 2016
12016
Do the Angles of a Triangle Add up to 180 {\deg}?--Introducing Non-Euclidean Geometry
H Kekkonen
arXiv preprint arXiv:2105.14947, 2021
2021
Do the Angles of a Triangle Add up to 180°?--Introducing Non-Euclidean Geometry
H Kekkonen
arXiv e-prints, arXiv: 2105.14947, 2021
2021
Random tree Besov priors--Towards fractal imaging
H Kekkonen, M Lassas, E Saksman, S Siltanen
arXiv preprint arXiv:2103.00574, 2021
2021
Lecture notes, Michaelmas term 2019 University of Cambridge
H Kekkonen, Y Korolev
2020
Analysis of regularized inversion of data corrupted by white Gaussian noise (vol 30, 045009, 2014)
H Kekkonen, M Lassas, S Siltanen
INVERSE PROBLEMS 32 (9), 2016
2016
Posterior consistency and convergence rates for Bayesian inversion
H Kekkonen
2015
Applied and Computational Analysis
H Kekkonen, Y Korolev
Mathematical Tripos Part III Lecture Courses in 2019-2020, 80, 0
Inverse Problems (M24)
H Kekkonen, Y Korolev
Bayesian Inverse Problems (L16)
H Kekkonen
Mathematical Tripos Part III Lecture Courses in 2018-2019, 85, 0
ERRATUM: ANALYSIS OF REGULARIZED INVERSION OF DATA CORRUPTED BY WHITE GAUSSIAN NOISE
H KEKKONEN, M LASSAS, S SILTANEN
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