Prati
Philipp Wacker
Philipp Wacker
FAU Erlangen-Nürnberg
Potvrđena adresa e-pošte na math.fau.de - Početna stranica
Naslov
Citirano
Citirano
Godina
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 (4), 915-971, 2020
502020
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
402018
Well posedness and convergence analysis of the ensemble Kalman inversion
D Blömker, C Schillings, P Wacker, S Weissmann
Inverse Problems 35 (8), 085007, 2019
382019
Pattern size in Gaussian fields from spinodal decomposition
LA Bianchi, D Blömker, P Wacker
SIAM Journal on Applied Mathematics 77 (4), 1292-1319, 2017
62017
Continuous time limit of the stochastic ensemble Kalman inversion: Strong convergence analysis
D Blömker, C Schillings, P Wacker, S Weissmann
arXiv preprint arXiv:2107.14508, 2021
52021
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), 1-22, 2022
32022
The lion in the attic--A resolution of the Borel--Kolmogorov paradox
L Bungert, P Wacker
arXiv preprint arXiv:2009.04778, 2020
22020
MAP estimators for nonparametric Bayesian inverse problems in Banach spaces
P Wacker
arXiv preprint arXiv:2007.12760, 2020
22020
Nested sampling and likelihood plateaus
D Schittenhelm, P Wacker
arXiv preprint arXiv:2005.08602, 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
Laplace’s method in Bayesian inverse problems with Gaussian priors
P Wacker
arXiv preprint arXiv:1701.07989, 2017
22017
Complete Deterministic Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion
L Bungert, P Wacker
arXiv preprint arXiv:2104.13281, 2021
12021
Laplace's method in Bayesian inverse problems
P Wacker
arXiv preprint arXiv:1701.07989, 2017
12017
Bayesian model selection for linear regression
M de Benito Delgado, P Wacker
arXiv e-prints, arXiv: 1512.04823, 2015
1*2015
Maximum a posteriori estimators in are well-defined for diagonal Gaussian priors
I Klebanov, P Wacker
arXiv preprint arXiv:2207.00640, 2022
2022
Deterministic Dynamics of Ensemble Kalman Inversion
L Bungert, P Wacker
2021
Complete Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion
L Bungert, P Wacker
2021
Wavelet-based priors accelerate maximum-a-posteriori optimization in Bayesian inverse problems
P Wacker, P Knabner
Methodology and Computing in Applied Probability 22 (3), 853-879, 2020
2020
Pointwise defined version of conditional expectation with respect to a random variable
P Wacker
arXiv preprint arXiv:2007.01635, 2020
2020
Pattern size in Gaussian fields from spinodal decomposition
L Amedeo Bianchi, D Blömker, P Wacker
arXiv e-prints, arXiv: 1510.01967, 2015
2015
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