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2025
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| Acceso en línea: | https://doi.org/10.5281/zenodo.17120721 |
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| _version_ | 1866901886459707392 |
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| author | Kumar, V Mithlesh |
| author_facet | Kumar, V Mithlesh |
| contents | <p>This repository contains the code and data used for the numerical experiments described in the manuscript <em>Bayesian Data Selection to Quantify the Value of Data for Landslide Runout Calibration</em>. It includes Jupyter notebooks to replicate the numerical experiments.</p> <p>The repository further provides:</p> <ol> <li>posterior samples from the calibration routines,</li> <li>training data comprising the design (sampled input parameters) and reponse (corresponding model outputs),</li> <li>ground truth data used in the calibration routines.</li> </ol> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17120721 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Bayesian data selection to quantify the value of data for landslide runout calibration Kumar, V Mithlesh <p>This repository contains the code and data used for the numerical experiments described in the manuscript <em>Bayesian Data Selection to Quantify the Value of Data for Landslide Runout Calibration</em>. It includes Jupyter notebooks to replicate the numerical experiments.</p> <p>The repository further provides:</p> <ol> <li>posterior samples from the calibration routines,</li> <li>training data comprising the design (sampled input parameters) and reponse (corresponding model outputs),</li> <li>ground truth data used in the calibration routines.</li> </ol> <p> </p> |
| title | Bayesian data selection to quantify the value of data for landslide runout calibration |
| url | https://doi.org/10.5281/zenodo.17120721 |