hetGPy: Heteroskedastic Gaussian Process Modeling in Python
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| Title: | hetGPy: Heteroskedastic Gaussian Process Modeling in Python |
|---|---|
| Authors: | O’gara, David, Binois, Mickaël, Garnett, Roman, Hammond, Ross |
| Contributors: | Washington University in Saint Louis (WUSTL), Analysis and Control of Unsteady Models for Engineering Sciences (ACUMES), Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Brookings Institution, Santa Fe Institute |
| Source: | ISSN: 2475-9066 ; Journal of Open Source Software ; https://hal.science/hal-05372470 ; Journal of Open Source Software, 2025, 10 (106), pp.7518. ⟨10.21105/joss.07518⟩. |
| Publisher Information: | CCSD Open Journals |
| Publication Year: | 2025 |
| Collection: | HAL Université Côte d'Azur |
| Subject Terms: | [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] |
| Description: | International audience |
| Document Type: | article in journal/newspaper |
| Language: | English |
| DOI: | 10.21105/joss.07518 |
| Availability: | https://hal.science/hal-05372470 https://doi.org/10.21105/joss.07518 |
| Accession Number: | edsbas.C612ADA0 |
| Database: | BASE |
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