The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Efficient posterior exploration of a high‐dimensional groundwater model from two‐stage Markov chain Monte Carlo simulation and polynomial chaos expansion
Open accessAbstract
Key Points: Efficient two‐stage MCMC simulation for CPU‐demanding sampling Real‐world application to the inference of a multi‐layered 3D aquifer model A 2‐5 times observed speed up in sampling efficiency
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Inference from iterative simulation using multiple sequences
Gelman, A., & Rubin, D. B. (1992) · Statistical Science · doi:10.1214/ss/1177011136 · Cited by 16,627
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
An Analysis of Transformations
Box, G. E. P., & Cox, D. R. (1964) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1964.tb00553.x · Cited by 15,052
Loève, M. (1963) · Andalas University Repository (Andalas University) · Cited by 5,938
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
GREEN, P. J. (1995) · Biometrika · doi:10.1093/biomet/82.4.711 · Cited by 5,930
Stochastic Finite Elements: A Spectral Approach
Ghanem, R., & Spanos, P. D. (1991) · Springer eBooks · doi:10.1007/978-1-4612-3094-6 · Cited by 5,851
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
Xiu, D., & Karniadakis, G. E. (2002) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827501387826 · Cited by 4,807
Bayesian calibration of computer models
Kennedy, M. C., & O'Hagan, A. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00294 · Cited by 4,222
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010) · Computer Physics Communications · doi:10.1016/j.cpc.2009.09.018 · Cited by 3,623
Cited by
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., & Kim, S. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.01.006 · Cited by 1,456
Vrugt, J. A. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2015.08.013 · Cited by 851
Self-citationTraining‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network
Laloy, E., Hérault, R., Jacques, D., & Linde, N. (2018) · Water Resources Research · doi:10.1002/2017wr022148 · Cited by 382
Self-citationLaloy, E., Hérault, R., Lee, J., Jacques, D., & Linde, N. (2017) · Advances in Water Resources · doi:10.1016/j.advwatres.2017.09.029 · Cited by 258
Self-citation
Metadata
- Authors
- Laloy, E., Rogiers, B., Vrugt, J. A., Mallants, D., & Jacques, D.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2013-05
- Volume
- 49
- Issue
- 5
- Pages
- 2664-2682
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2133944044
- Cited by
- 264
- References
- 57
- FWCI
- 14.05
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Efficient posterior exploration of a high‐dimensional groundwater model from two‐stage Markov chain Monte Carlo simulation and polynomial chaos expansion. https://app.cochat.ai/papers/10.1002/wrcr.20226
- The paper
- Laloy, E., Rogiers, B., Vrugt, J. A., Mallants, D., & Jacques, D. (2013). Efficient posterior exploration of a high‐dimensional groundwater model from two‐stage Markov chain Monte Carlo simulation and polynomial chaos expansion. Water Resources Research. https://doi.org/10.1002/wrcr.20226
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
