| 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 | 88 | 2022 |
| 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 | 78 | 2020 |
| Well posedness and convergence analysis of the ensemble Kalman inversion D Blömker, C Schillings, P Wacker, S Weissmann Inverse Problems 35 (8), 085007, 2019 | 58 | 2019 |
| 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 | 48 | 2018 |
| 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 | 12 | 2022 |
| Polarized consensus-based dynamics for optimization and sampling L Bungert, T Roith, P Wacker Mathematical Programming, 1-31, 2024 | 10 | 2024 |
| 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 | 8 | 2023 |
| Maximum a posteriori estimators in are well-defined for diagonal Gaussian priors I Klebanov, P Wacker arXiv preprint arXiv:2207.00640, 2022 | 7 | 2022 |
| 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 | 5 | 2017 |
| Pattern size in Gaussian fields from spinodal decomposition LA Bianchi, D Blömker, P Wacker SIAM Journal on Applied Mathematics 77 (4), 1292-1319, 2017 | 5 | 2017 |
| MAP estimators for nonparametric Bayesian inverse problems in Banach spaces P Wacker arXiv preprint arXiv:2007.12760, 2020 | 3 | 2020 |
| Nested sampling and likelihood plateaus D Schittenhelm, P Wacker arXiv preprint arXiv:2005.08602, 2020 | 3 | 2020 |
| Please, not another note about generalized inverses P Wacker Not Another Note About Generalized Inverses, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| The lion in the attic--A resolution of the Borel--Kolmogorov paradox L Bungert, P Wacker arXiv preprint arXiv:2009.04778, 2020 | 2 | 2020 |
| 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 | 2 | 2020 |
| 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 | 2 | 2017 |
| 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 |
Dirk BlömkerUniversität Augsburg在 math.uni-augsburg.de 的电子邮件经过验证
