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Philipp Wacker
Philipp Wacker
Verified email at canterbury.ac.nz
Title
Cited by
Cited by
Year
On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems
C Schillings, B Sprungk, P Wacker
Numerische Mathematik 145, 915-971, 2020
762020
Nested sampling for physical scientists
G Ashton, N Bernstein, J Buchner, X Chen, G Csányi, A Fowlie, F Feroz, ...
Nature Reviews Methods Primers 2 (1), 39, 2022
632022
Well posedness and convergence analysis of the ensemble Kalman inversion
D Blömker, C Schillings, P Wacker, S Weissmann
Inverse Problems 35 (8), 085007, 2019
562019
A strongly convergent numerical scheme from ensemble Kalman inversion
D Blömker, C Schillings, P Wacker
SIAM Journal on Numerical Analysis 56 (4), 2537-2562, 2018
482018
Continuous time limit of the stochastic ensemble Kalman inversion: strong convergence analysis
D Blömker, C Schillings, P Wacker, S Weissmann
SIAM Journal on Numerical Analysis 60 (6), 3181-3215, 2022
142022
Polarized consensus-based dynamics for optimization and sampling
L Bungert, T Roith, P Wacker
arXiv preprint arXiv:2211.05238, 2022
92022
Maximum a posteriori estimators in are well-defined for diagonal Gaussian priors
I Klebanov, P Wacker
Inverse Problems 39 (6), 065009, 2023
72023
Ensemble-based gradient inference for particle methods in optimization and sampling
C Schillings, C Totzeck, P Wacker
SIAM/ASA Journal on Uncertainty Quantification 11 (3), 757-787, 2023
62023
Complete deterministic dynamics and spectral decomposition of the linear ensemble Kalman inversion
L Bungert, P Wacker
SIAM/ASA Journal on Uncertainty Quantification 11 (1), 320-357, 2023
5*2023
Laplace’s method in Bayesian inverse problems with Gaussian priors
P Wacker
arXiv preprint arXiv:1701.07989, 2017
52017
Pattern size in Gaussian fields from spinodal decomposition
LA Bianchi, D Blömker, P Wacker
SIAM Journal on Applied Mathematics 77 (4), 1292-1319, 2017
52017
MAP estimators for nonparametric Bayesian inverse problems in Banach spaces
P Wacker
arXiv preprint arXiv:2007.12760, 2020
32020
Nested sampling and likelihood plateaus
D Schittenhelm, P Wacker
arXiv preprint arXiv:2005.08602, 2020
32020
Author Correction: Nested sampling for physical scientists (Nature Reviews Methods Primers,(2022), 2, 1,(39), 10.1038/s43586-022-00121-x)
G Ashton, N Bernstein, J Buchner, X Chen, G Csányi, A Fowlie, F Feroz, ...
Nature Reviews Methods Primers 2 (1), 44, 2022
22022
The lion in the attic--A resolution of the Borel--Kolmogorov paradox
L Bungert, P Wacker
arXiv preprint arXiv:2009.04778, 2020
22020
Wavelet-based priors accelerate maximum-a-posteriori optimization in Bayesian inverse problems
P Wacker, P Knabner
Methodology and Computing in Applied Probability 22, 853-879, 2020
22020
Probabilistic estimates of the maximum norm of random Neumann Fourier series
D Blömker, P Wacker, T Wanner
Communications in Nonlinear Science and Numerical Simulation 47, 348-369, 2017
22017
Please, Not Another Note About Generalized Inverses
P Wacker
Not Another Note About Generalized Inverses, 2023
12023
Bayesian model selection for linear regression
M de Benito Delgado, P Wacker
arXiv e-prints, arXiv: 1512.04823, 2015
1*2015
Perspectives on locally weighted ensemble Kalman methods
P Wacker
arXiv preprint arXiv:2402.00027, 2024
2024
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