Georg Stadler
Geophysics · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Geophysics — 22 citations into it
- Statistics and Probability — 11 citations into it
- Artificial Intelligence — 10 citations into it
- Applied Mathematics — 5 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Environmental Engineering — 5 citations into it
Whom Georg Stadler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Georg Stadler's perspective
Ordered by how strongly the researchers Georg Stadler trusts endorse each paper. Same corpus, a different order for every researcher.
- Gaussian Markov Random Fields: Theory and Applications
- Riemann manifold Langevin and Hamiltonian Monte Carlo methods
- Full seismic waveform tomography for upper-mantle structure in the Australasian region using adjoint methods
- Statistical and Computational Inverse Problems (Technometrics)
- Monte Carlo Statistical Methods (Springer Texts in Statistics)
- Fast sampling of Gaussian Markov random fields
- p4est: Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees (SIAM Journal on Scientific Computing)
- Monte Carlo Statistical Methods
- Inverse problem theory - and methods for model parameter estimation
- Sampling-Based Approaches to Calculating Marginal Densities
Their papers
- A Bayesian approach to estimate uncertainty for full-waveform inversion using a priori information from depth migration (2016) — 100 citations
- A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion (2013) — 439 citations