bibliography.bib

% ---------- Articles ---------- %

@inbook{Kozlova2024a,
author = {Kozlova, Mariia and Moss, Robert and Roy, Pamphile and Alam, Abid and Yeomans, Julian},
year = {2024},
month = {09},
pages = {27-59},
title = {SimDec algorithm and guidelines for its usage and interpretation},
isbn = {9781003453789},
doi = {10.4324/9781003453789-3}
}

@article{Arnald2024,
author = {Arnald Puy, Pamphile T. Roy and Andrea Saltelli},
title = {Discrepancy Measures for Global Sensitivity Analysis},
journal = {Technometrics},
volume = {0},
number = {0},
pages = {1-18},
year = {2024},
publisher = {Taylor & Francis},
doi = {10.1080/00401706.2024.2304341}
}

@article{Roy2024,
doi = {10.21105/joss.06713},
year = {2024},
publisher = {The Open Journal},
volume = {9},
number = {98},
pages = {6713},
author = {Pamphile T. Roy and Mariia Kozlova},
title = {Simulation Decomposition in Python},
journal = {Journal of Open Source Software}
}

@article{Tarantola2024,
title = {An annotated timeline of sensitivity analysis},
journal = {Environmental Modelling & Software},
pages = {105977},
year = {2024},
issn = {1364-8152},
doi = {https://doi.org/10.1016/j.envsoft.2024.105977},
url = {https://www.sciencedirect.com/science/article/pii/S1364815224000380},
author = {Stefano Tarantola and Federico Ferretti and Samule {Lo Piano} and Mariia Kozlova and Alessio Lachi and Rossana Rosati and Arnald Puy and Pamphile Roy and Giulia Vannucci and Marta Kuc-Czarnecka and Andrea Saltelli}
}

@article{Roy2023,
doi = {10.21105/joss.05309},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {84},
pages = {5309},
author = {Pamphile T. Roy and Art B. Owen and Maximilian Balandat and Matt Haberland},
title = {Quasi-Monte Carlo Methods in Python},
journal = {Journal of Open Source Software}
}

@article{Roy2021,
author = {Roy,Pamphile T.},
journal = {In review},
title = {{Newcomb-Benford's law as a fast ersatz of discrepancy measures}},
year = {2021},
archivePrefix = {arXiv}
}

@article{Roy2020b,
author = {Campet, Robin and \emph{et al.}},
journal = {International Journal of Heat and Mass Transfert},
title = {{Design Optimization of Heat Exchanger using Gaussian Process}},
year = {2020}, 
number = {April }, 
volume = {150}, 
pages = {119264}, 
doi = {10.1016/j.ijheatmasstransfer.2019.119264}, 
}

@article{Roy2020a,
author = {Roy, Pamphile T. and \emph{et al.}},
journal = {European Journal of Operational Research},
title = {{Versatile Sequential Sampling Algorithm using Kernel Density Estimation}},
doi = {10.1016/j.ejor.2019.11.070}, 
year = {2020}
}

@article{Roy2018e,
author = {Roy, Pamphile T. and \emph{et al.}},
journal = {In review for Computers {\&} Fluids},
title = {{Uncertainty Quantification-Driven Robust Design Assessment of a Swirler Geometry}},
year = {2018}
}

@TECHREPORT{TR-CMGC-18-204,  
author = {Ricci, S.  and \emph{et al.}}, 
title = {Estimates of hydraulic variables and uncertainty estimates for major rivers in France used for hydropower production, Deliverable EoCoE}, 
year = {2018}, 
institution = {CECI, Universite de Toulouse, CNRS, CERFACS, Toulouse, France - TR-CMGC-18-204}, 
type = {Technical report}}

@article{Roy2018d,
title={Sounding Kiviat: representing uncertainties in high dimensions},
author={Roy, Pamphile T. and \emph{et al.}},
archivePrefix = {arXiv},
arxivId = {1808.01217},
url = {http://arxiv.org/abs/1808.01217},
year={2018}
}

@article{Roy2018b,
author = {Roy, Pamphile T. and \emph{et al.}},
doi = {10.21105/joss.00493},
isbn = {0047701714},
issn = {2475-9066},
journal = {The Journal of Open Source Software},
number = {21},
pages = {493},
title = {{BATMAN: Statistical analysis for expensive computer codes made easy}},
volume = {3},
year = {2018}
}

@article{Roy2018a,
author = {Roy, Pamphile T. and \emph{et al.}},
doi = {10.1002/fld.4504},
issn = {02712091},
journal = {International Journal for Numerical Methods in Fluids},
month = {aug},
number = {12},
pages = {607--627},
title = {{Resampling strategies to improve surrogate model-based uncertainty quantification: Application to LES of LS89}},
volume = {87},
year = {2018}
}

@article{Roy2017c,
author = {Roy, Pamphile T. and \emph{et al.}},
doi = {10.1007/s00477-017-1470-4},
journal = {Stochastic Environmental Research and Risk Assessment},
month = {oct},
pages = {1--29},
title = {{Comparison of polynomial chaos and Gaussian process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows}},
year = {2017}
}


% ---------- CONF ---------- %


@CONFERENCE{Roy2024,
  author       = {Pamphile T. Roy and Kozlova, Mariia},
  title        = {{Simulation Decomposition in Python: pip install simdec}},
  month        = jul,
  year         = 2024,
  booktitle = {SciPy 2024}
}

@CONFERENCE{Roy2023a,
author = {Roy, Pamphile},
year = {2023},
month = {10},
pages = {},
title = {Open-Source Software for Science From Science to Sofware to Science},
doi = {10.13140/RG.2.2.36171.57123},
booktitle = {LUT 2023}
}

@CONFERENCE{Roy2023b,
  author       = {Pamphile T. Roy},
  title        = {{Analyse the uncertainty of your system Sensitivity 
                   Analysis in Python with scipy.stats.sobol\_indices}},
  month        = jul,
  year         = 2023,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.8136764},
  booktitle = {SciPy 2023}
}

@CONFERENCE{Roy2023c,
author = {Roy, Pamphile and Haberland, Matt},
year = {2023},
title = {SciPy’s updates around QMC and... SA},
booktitle = {14th International Conference on Monte Carlo Methods and Applications, MCM 2023}
}

@CONFERENCE{Roy2022a,
  author       = {Roy, Pamphile T. and
                  van der Walt, Stéfan and
                  Millman, K. Jarrod and
                  Mendonça, Melissa Weber},
  title        = {Scientific Python: By maintainers, for maintainers},
  month        = aug,
  year         = 2022,
  publisher    = {Zenodo},
  doi          = {10.25080/majora-212e5952-040},
  booktitle = {SciPy 2022}
}

@CONFERENCE{Roy2022b,
  author       = {Roy, Pamphile T. and
                  Haberland, Matt and
                  Baumgarten, Christoph and
                  Patel, Tirth},
  title        = {{Improving random sampling in Python: 
                   scipy.stats.sampling and scipy.stats.qmc}},
  month        = aug,
  year         = 2022,
  publisher    = {Zenodo},
  doi          = {10.25080/majora-212e5952-041},
  booktitle = {SciPy 2022}
}

@CONFERENCE{Kucherenko2021,
author = {Kucherenko, Sergei and Asotsky, Danil and Atanassov, E. and Roy, Pamphile},
year = {2021},
month = {08},
pages = {},
title = {Construction and comparison of high-dimensional Sobol’ sequence generators},
booktitle = {13th International Conference on Monte Carlo Methods and Applications, MCM 2021}
}

@CONFERENCE{Roy2021a,
author = {Roy, Pamphile and Balandat, Maximilian},
year = {2021},
month = {08},
pages = {},
title = {Quasi-Monte Carlo for Everyone: scipy.stats.qmc and torch.quasirandom},
booktitle = {13th International Conference on Monte Carlo Methods and Applications, MCM 2021},
doi = {10.13140/RG.2.2.30753.12645}
}

@CONFERENCE{Roy2021b,
author = {Roy, Pamphile},
year = {2021},
month = {07},
pages = {},
title = {SciPy (Tools Track)},
booktitle = {SciPy 2021},
doi = {10.13140/RG.2.2.25719.96160}
}


@CONFERENCE{PR-CMGC-19-153,  
author = {El Garroussi, S.  and \emph{et al.}}, 
title = {Contribution and on-going research on sensitivity analysis and surrogate models at CERFACS with an application in 2D hydrodynamics}, 
year = {2019}, 
booktitle = {OpenTURNS Journee Utilisateurs, June, 7th 2019}}

@CONFERENCE{PR-CMGC-19-154,  
author = {Mirouze, I.  and \emph{et al.}}, 
title = {Diagnosing data assimilation with sensitivity analysis}, 
year = {2019}, 
booktitle = {14th International EnKF workshop,  3-5 June 2019, Vossenvagen, Norway}}

@inproceedings{Ricci2019,
author = {Ricci, Sophie and \emph{et al.}},
booktitle = {SAMO},
title = {{Sensitivity Analysis on Flood Evacuation Model}},
year = {2019}
}

@inproceedings{Lapeyre2019,
archivePrefix = {arXiv},
arxivId = {1903.01123},
author = {Lapeyre, Corentin J and \emph{et al.}},
booktitle = {SimHydro},
keywords = {data science,machine learning,shallow-water equations,time series},
title = {{Reconstruction of Hydraulic Data by Machine Learning}},
url = {http://arxiv.org/abs/1903.01123},
year = {2019}
}

@CONFERENCE{PR-CMGC-18-243,  
author = {Mirouze, I.  and \emph{et al.}}, 
title = {Using a surrogate model in a hydrologic data assimilation system}, 
year = {2018}, 
booktitle = {ClimatNet 2018, 19-21 Sept, Reading, UK.}}

@inproceedings{Lozzo2018,
address = {Orleans},
author = {{De Lozzo}, Matthias and \emph{et al.}},
booktitle = {Symposium on Uncertainty Quantification in Computational Geosciences},
title = {{Applicative , methodological and software contributions to uncertainty quantification for environmental modeling}},
year = {2018}
}

@inproceedings{Roy2017b,
author = {Roy, Pamphile T. and \emph{et al.}},
booktitle = {INCA},
pages = {7},
title = {{Uncertainty Quantification-driven Robust Optimization of a Swirler's Geometry}},
year = {2017}
}

@inproceedings{Roy2017a,
author = {Roy, Pamphile T.},
booktitle = {OpenTURNS Users Day 10},
title = {{Improving Surrogate Model-based Uncertainty Quantification in a Costly Numerical Environment}},
year = {2017}
}

@inproceedings{DeLozzo2017,
author = {{De Lozzo}, Matthias and \emph{et al.}},
booktitle = {Journ{\'{e}}e des Statistiques 2017},
pages = {1--6},
title = {{M{\'{e}}thodes de Monte-Carlo multi-niveaux pour la quantification d'incertitudes et l'assimilation de donn{\'{e}}es - Application a mod{\'{e}}lisation fluviale}},
year = {2017}
}

@inproceedings{Mycek2017,
author = {Mycek, Paul and \emph{et al.}},
booktitle = {CEMRACS},
title = {{Multilevel Monte Carlo estimation of covariances in the context of open-channel flow simulations}},
year = {2017}
}

@conference{PR-CFD-17-8,
address = {Paris, France},
author = {Roy, Pamphile T.},
booktitle = {MASCOT-NUM 2017},
editor = {MASCOT-NUM, G D R},
organization = {Institut Henri Poincar{\'{e}} et AgroParistTech},
title = {{Improving Surrogate Model-based Uncertainty Quantification Application to LES}},
year = {2017}
}