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Pierre Barbillon
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2020 – today
- 2024
- [j14]Pierre Barbillon, Anabel Forte, Rui Paulo:
Screening the Discrepancy Function of a Computer Model. Technometrics 66(3): 394-405 (2024) - [i3]Emre Anakok, Pierre Barbillon, Colin Fontaine, Elisa Thebault:
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks. CoRR abs/2403.02011 (2024) - 2022
- [j13]Jean-Pierre Renaud, Ankit Sagar, Pierre Barbillon, Olivier Bouriaud, Christine Deleuze, Cédric Véga:
Characterizing the calibration domain of remote sensing models using convex hulls. Int. J. Appl. Earth Obs. Geoinformation 112: 102939 (2022) - [j12]Shaohui Zhang
, Cédric Véga, Christine Deleuze, Sylvie Durrieu
, Pierre Barbillon, Olivier Bouriaud, Jean-Pierre Renaud:
Modelling forest volume with small area estimation of forest inventory using GEDI footprints as auxiliary information. Int. J. Appl. Earth Obs. Geoinformation 114: 103072 (2022) - [j11]Pierre Barbillon, Julien Chiquet, Timothée Tabouy:
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model. J. Stat. Softw. 101(12) (2022) - [i2]Saint-Clair Chabert-Liddell
, Pierre Barbillon, Sophie Donnet:
Learning common structures in a collection of networks. An application to food webs. CoRR abs/2206.00560 (2022) - 2021
- [j10]Saint-Clair Chabert-Liddell
, Pierre Barbillon, Sophie Donnet, Emmanuel Lazega
:
A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations. Comput. Stat. Data Anal. 158: 107179 (2021) - 2020
- [j9]Pierre Barbillon
, Loïc Schwaller, Stéphane Robin, Andrew Flachs, Glenn Stone
:
Epidemiologic network inference. Stat. Comput. 30(1): 61-75 (2020)
2010 – 2019
- 2019
- [j8]Jordi Ferrer Savall, Damien Franqueville
, Pierre Barbillon, Cyril Benhamou, Patrick Durand
, Marie-Luce Taupin, Hervé Monod, Jean-Louis Drouet:
Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale. Environ. Model. Softw. 111: 356-367 (2019) - [i1]Saint-Clair Chabert-Liddell
, Pierre Barbillon, Sophie Donnet, Emmanuel Lazega:
A Stochastic Block Model Approach for the Analysis of Multilevel Networks: an Application to the Sociology of Organizations. CoRR abs/1910.10512 (2019) - 2018
- [j7]Guillaume Damblin, Pierre Barbillon, Merlin Keller, Alberto Pasanisi, Eric C. Parent:
Adaptive Numerical Designs for the Calibration of Computer Codes. SIAM/ASA J. Uncertain. Quantification 6(1): 151-179 (2018) - 2017
- [j6]Pierre Barbillon, Célia Barthélémy, Adeline Samson:
Parameter estimation of complex mixed models based on meta-model approach. Stat. Comput. 27(4): 1111-1128 (2017) - 2016
- [j5]Guillaume Damblin, Merlin Keller, Pierre Barbillon, Alberto Pasanisi, Eric C. Parent:
Bayesian Model Selection for the Validation of Computer Codes. Qual. Reliab. Eng. Int. 32(6): 2043-2054 (2016) - [j4]Emmanuel Lazega
, Avner Bar-Hen, Pierre Barbillon, Sophie Donnet:
Effects of competition on collective learning in advice networks. Soc. Networks 47: 1-14 (2016) - 2014
- [j3]Yves Auffray, Pierre Barbillon, Jean-Michel Marin
:
Bounding rare event probabilities in computer experiments. Comput. Stat. Data Anal. 80: 153-166 (2014) - 2012
- [j2]Yves Auffray, Pierre Barbillon, Jean-Michel Marin
:
Maximin design on non hypercube domains and kernel interpolation. Stat. Comput. 22(3): 703-712 (2012) - 2011
- [j1]Pierre Barbillon, Gilles Celeux, Agnès Grimaud, Yannick Lefebvre, Etienne de Rocquigny:
Nonlinear methods for inverse statistical problems. Comput. Stat. Data Anal. 55(1): 132-142 (2011)
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last updated on 2024-08-26 21:12 CEST by the dblp team
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