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1
Academic Journal
The “Free lunches” index for assessing academics: a not entirely serious proposal

Authors: Scanff, Alexandre, Mauhé, Nicolas, Taburet, Marion, Savourat, Pierre-Etienne, Clément, Thomas, Bastian, Benjamin, Cristea, Ioana, Braillon, Alain, Carayol, Nicolas, Naudet, Florian

Contributors: Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique EHESP (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Centre d'Investigation Clinique Rennes (CIC), Université de Rennes (UR)-Centre Hospitalier Universitaire de Rennes CHU Rennes = Rennes University Hospital Ponchaillou -Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Rennes CHU Rennes = Rennes University Hospital Ponchaillou, Université de Bordeaux (UB), Université de Rennes (UR), Università degli Studi di Pavia = University of Pavia (UNIPV), Chercheur indépendant, The author(s) received no specific funding for this work. Publications fees will be paid by Rennes University Hospital.

Superior Title: ISSN: 0138-9130.

Subject Terms: Political science, Politics, World Wide Web, Law, Macroeconomics, Index (typography), Ranking (information retrieval), Productivity, Investment (military), Observational study, Citation, Actuarial science, Statistics, Psychology, Economics, Library science, Mathematics, Computer science, Information retrieval, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie

Relation: hal-04286546; https://hal.science/hal-04286546; https://hal.science/hal-04286546/document; https://hal.science/hal-04286546/file/s11192-023-04862-8.pdf

Availability: https://doi.org/10.1007/s11192-023-04862-8
https://hal.science/hal-04286546
https://hal.science/hal-04286546/document
https://hal.science/hal-04286546/file/s11192-023-04862-8.pdf

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2
Academic Journal
The “Free lunches” index for assessing academics: a not entirely serious proposal

Authors: Scanff, Alexandre, Mauhé, Nicolas, Taburet, Marion, Savourat, Pierre-Etienne, Clément, Thomas, Bastian, Benjamin, Cristea, Ioana, Braillon, Alain, Carayol, Nicolas, Naudet, Florian

Contributors: Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique EHESP (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Centre d'Investigation Clinique Rennes (CIC), Université de Rennes (UR)-Centre Hospitalier Universitaire de Rennes CHU Rennes = Rennes University Hospital Ponchaillou -Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Rennes CHU Rennes = Rennes University Hospital Ponchaillou, Université de Bordeaux (UB), Université de Rennes (UR), Università degli Studi di Pavia = University of Pavia (UNIPV), Chercheur indépendant, The author(s) received no specific funding for this work. Publications fees will be paid by Rennes University Hospital.

Superior Title: ISSN: 0138-9130.

Subject Terms: Political science, Politics, World Wide Web, Law, Macroeconomics, Index (typography), Ranking (information retrieval), Productivity, Investment (military), Observational study, Citation, Actuarial science, Statistics, Psychology, Economics, Library science, Mathematics, Computer science, Information retrieval, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie

Relation: hal-04286546; https://hal.science/hal-04286546; https://hal.science/hal-04286546/document; https://hal.science/hal-04286546/file/s11192-023-04862-8.pdf

Availability: https://doi.org/10.1007/s11192-023-04862-8
https://hal.science/hal-04286546
https://hal.science/hal-04286546/document
https://hal.science/hal-04286546/file/s11192-023-04862-8.pdf

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3
Report
A tailored Chain Ladder methodology for inflation analysis in reserving triangles

Authors: Farkas, Sébastien, Roux, Amélie

Contributors: Allianz, Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut de Statistique de Sorbonne Université (ISUP), Sorbonne Université (SU)

Superior Title: https://hal.science/hal-04019831 ; 2023.

Subject Terms: Actuarial science, Inflation, Chain Ladder, Taylor, Verbeek, JEL: E - Macroeconomics and Monetary Economics/E.E3 - Prices, Business Fluctuations, and Cycles/E.E3.E31 - Price Level • Inflation • Deflation, [STAT.AP]Statistics [stat]/Applications [stat.AP], [SHS.ECO]Humanities and Social Sciences/Economics and Finance

Relation: hal-04019831; https://hal.science/hal-04019831; https://hal.science/hal-04019831/document; https://hal.science/hal-04019831/file/A_tailored_Chain_Ladder_methodology_for_inflation_analysis_in_reserving_triangles__2_.pdf

Availability: https://hal.science/hal-04019831
https://hal.science/hal-04019831/document
https://hal.science/hal-04019831/file/A_tailored_Chain_Ladder_methodology_for_inflation_analysis_in_reserving_triangles__2_.pdf


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4
Report
A tailored Chain Ladder methodology for inflation analysis in reserving triangles

Authors: Farkas, Sébastien, Roux, Amélie

Contributors: Allianz, Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut de Statistique de Sorbonne Université (ISUP), Sorbonne Université (SU)

Superior Title: https://hal.science/hal-04019831 ; 2023.

Subject Terms: Actuarial science, Inflation, Chain Ladder, Taylor, Verbeek, JEL: E - Macroeconomics and Monetary Economics/E.E3 - Prices, Business Fluctuations, and Cycles/E.E3.E31 - Price Level • Inflation • Deflation, [STAT.AP]Statistics [stat]/Applications [stat.AP], [SHS.ECO]Humanities and Social Sciences/Economics and Finance

Relation: hal-04019831; https://hal.science/hal-04019831; https://hal.science/hal-04019831/document; https://hal.science/hal-04019831/file/A_tailored_Chain_Ladder_methodology_for_inflation_analysis_in_reserving_triangles__2_.pdf

Availability: https://hal.science/hal-04019831
https://hal.science/hal-04019831/document
https://hal.science/hal-04019831/file/A_tailored_Chain_Ladder_methodology_for_inflation_analysis_in_reserving_triangles__2_.pdf


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5
Report
A tailored Chain Ladder methodology for inflation analysis in reserving triangles

Authors: Farkas, Sébastien, Roux, Amélie

Contributors: Allianz, Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut de Statistique de Sorbonne Université (ISUP), Sorbonne Université (SU)

Superior Title: https://hal.science/hal-04019831 ; 2023.

Subject Terms: Actuarial science, Inflation, Chain Ladder, Taylor, Verbeek, JEL: E - Macroeconomics and Monetary Economics/E.E3 - Prices, Business Fluctuations, and Cycles/E.E3.E31 - Price Level • Inflation • Deflation, [STAT.AP]Statistics [stat]/Applications [stat.AP], [SHS.ECO]Humanities and Social Sciences/Economics and Finance

Relation: hal-04019831; https://hal.science/hal-04019831; https://hal.science/hal-04019831/document; https://hal.science/hal-04019831/file/A_tailored_Chain_Ladder_methodology_for_inflation_analysis_in_reserving_triangles__2_.pdf

Availability: https://hal.science/hal-04019831
https://hal.science/hal-04019831/document
https://hal.science/hal-04019831/file/A_tailored_Chain_Ladder_methodology_for_inflation_analysis_in_reserving_triangles__2_.pdf


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6
Report
Sequential Monte Carlo samplers to fit and compare insurance loss models

Authors: Goffard, Pierre-Olivier

Contributors: Université Claude Bernard Lyon 1 (UCBL), Université de Lyon

Superior Title: https://hal.science/hal-03263471 ; 2022.

Subject Terms: Composite model, Bayesian statistics, Sequential Monte Carlo sampler, Actuarial Science, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Relation: hal-03263471; https://hal.science/hal-03263471; https://hal.science/hal-03263471v3/document; https://hal.science/hal-03263471v3/file/smclomo_goffard_R2.pdf

Availability: https://hal.science/hal-03263471
https://hal.science/hal-03263471v3/document
https://hal.science/hal-03263471v3/file/smclomo_goffard_R2.pdf


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7
Report
Sequential Monte Carlo samplers to fit and compare insurance loss models

Authors: Goffard, Pierre-Olivier

Contributors: Université Claude Bernard Lyon 1 (UCBL), Université de Lyon

Superior Title: https://hal.science/hal-03263471 ; 2022.

Subject Terms: Composite model, Bayesian statistics, Sequential Monte Carlo sampler, Actuarial Science, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Relation: hal-03263471; https://hal.science/hal-03263471; https://hal.science/hal-03263471v3/document; https://hal.science/hal-03263471v3/file/smclomo_goffard_R2.pdf

Availability: https://hal.science/hal-03263471
https://hal.science/hal-03263471v3/document
https://hal.science/hal-03263471v3/file/smclomo_goffard_R2.pdf


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11
Report
Efficient simulation of individual-based population models: the R Package IBMPopSim

Authors: Giorgi, Daphné, Kaakai, Sarah, Lemaire, Vincent

Contributors: Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire Manceau de Mathématiques (LMM), Le Mans Université (UM), Institut du Risque et de l'Assurance, Le Mans (IRA)

Superior Title: https://hal.science/hal-04033144 ; 2023.

Subject Terms: thinning method, actuarial science, insurance portfolio simulation, Individual-based models, stochastic simulation, population dynamics, Poisson measures, [MATH]Mathematics [math], [INFO]Computer Science [cs]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2303.06183; hal-04033144; https://hal.science/hal-04033144; ARXIV: 2303.06183

Availability: https://hal.science/hal-04033144


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12
Report
Efficient simulation of individual-based population models: the R Package IBMPopSim

Authors: Giorgi, Daphné, Kaakai, Sarah, Lemaire, Vincent

Contributors: Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire Manceau de Mathématiques (LMM), Le Mans Université (UM), Institut du Risque et de l'Assurance, Le Mans (IRA)

Superior Title: https://hal.science/hal-04033144 ; 2023.

Subject Terms: thinning method, actuarial science, insurance portfolio simulation, Individual-based models, stochastic simulation, population dynamics, Poisson measures, [MATH]Mathematics [math], [INFO]Computer Science [cs]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2303.06183; hal-04033144; https://hal.science/hal-04033144; ARXIV: 2303.06183

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13
Report
Efficient simulation of individual-based population models: the R Package IBMPopSim

Authors: Giorgi, Daphné, Kaakai, Sarah, Lemaire, Vincent

Contributors: Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire Manceau de Mathématiques (LMM), Le Mans Université (UM), Institut du Risque et de l'Assurance, Le Mans (IRA)

Superior Title: https://hal.science/hal-04033144 ; 2023.

Subject Terms: thinning method, actuarial science, insurance portfolio simulation, Individual-based models, stochastic simulation, population dynamics, Poisson measures, [MATH]Mathematics [math], [INFO]Computer Science [cs]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2303.06183; hal-04033144; https://hal.science/hal-04033144; ARXIV: 2303.06183

Availability: https://hal.science/hal-04033144


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14
Report
Efficient simulation of individual-based population models: the R Package IBMPopSim

Authors: Giorgi, Daphné, Kaakai, Sarah, Lemaire, Vincent

Contributors: Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire Manceau de Mathématiques (LMM), Le Mans Université (UM), Institut du Risque et de l'Assurance, Le Mans (IRA)

Superior Title: https://hal.science/hal-04033144 ; 2023.

Subject Terms: thinning method, actuarial science, insurance portfolio simulation, Individual-based models, stochastic simulation, population dynamics, Poisson measures, [MATH]Mathematics [math], [INFO]Computer Science [cs]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2303.06183; hal-04033144; https://hal.science/hal-04033144; ARXIV: 2303.06183

Availability: https://hal.science/hal-04033144


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15
Dissertation/ Thesis
Semi-supervised learning in insurance : fairness and active learning ; Apprentissage semi-supervisé en assurance : équité et apprentissage actif

Authors: Hu, François

Contributors: Centre de Recherche en Économie et Statistique (CREST), Ecole Nationale de la Statistique et de l'Analyse de l'Information Bruz (ENSAI)-École polytechnique (X)-École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris, Caroline Hillairet, Romuald Elie

Superior Title: https://theses.hal.science/tel-03752063 ; Statistics [math.ST]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAG002⟩.

Subject Terms: Actuarial science, Active learning, Fairness, Natural Language Processing, Actuariat, Apprentissage actif, Équité, Traitement Automatique du Langage Naturel, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.AP]Statistics [stat]/Applications [stat.AP], [STAT.ME]Statistics [stat]/Methodology [stat.ME], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Relation: NNT: 2022IPPAG002; tel-03752063; https://theses.hal.science/tel-03752063; https://theses.hal.science/tel-03752063/document; https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf

Availability: https://theses.hal.science/tel-03752063
https://theses.hal.science/tel-03752063/document
https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf


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16
Dissertation/ Thesis
Semi-supervised learning in insurance : fairness and active learning ; Apprentissage semi-supervisé en assurance : équité et apprentissage actif

Authors: Hu, François

Contributors: Centre de Recherche en Économie et Statistique (CREST), Ecole Nationale de la Statistique et de l'Analyse de l'Information Bruz (ENSAI)-École polytechnique (X)-École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris, Caroline Hillairet, Romuald Elie

Superior Title: https://theses.hal.science/tel-03752063 ; Statistics [math.ST]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAG002⟩.

Subject Terms: Actuarial science, Active learning, Fairness, Natural Language Processing, Actuariat, Apprentissage actif, Équité, Traitement Automatique du Langage Naturel, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.AP]Statistics [stat]/Applications [stat.AP], [STAT.ME]Statistics [stat]/Methodology [stat.ME], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Relation: NNT: 2022IPPAG002; tel-03752063; https://theses.hal.science/tel-03752063; https://theses.hal.science/tel-03752063/document; https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf

Availability: https://theses.hal.science/tel-03752063
https://theses.hal.science/tel-03752063/document
https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf


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17
Dissertation/ Thesis
Semi-supervised learning in insurance : fairness and active learning ; Apprentissage semi-supervisé en assurance : équité et apprentissage actif

Authors: Hu, François

Contributors: Centre de Recherche en Économie et Statistique (CREST), Ecole Nationale de la Statistique et de l'Analyse de l'Information Bruz (ENSAI)-École polytechnique (X)-École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris, Caroline Hillairet, Romuald Elie

Superior Title: https://theses.hal.science/tel-03752063 ; Statistics [math.ST]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAG002⟩.

Subject Terms: Actuarial science, Active learning, Fairness, Natural Language Processing, Actuariat, Apprentissage actif, Équité, Traitement Automatique du Langage Naturel, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.AP]Statistics [stat]/Applications [stat.AP], [STAT.ME]Statistics [stat]/Methodology [stat.ME], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Relation: NNT: 2022IPPAG002; tel-03752063; https://theses.hal.science/tel-03752063; https://theses.hal.science/tel-03752063/document; https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf

Availability: https://theses.hal.science/tel-03752063
https://theses.hal.science/tel-03752063/document
https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf


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18
Dissertation/ Thesis
Semi-supervised learning in insurance : fairness and active learning ; Apprentissage semi-supervisé en assurance : équité et apprentissage actif

Authors: Hu, François

Contributors: Centre de Recherche en Économie et Statistique (CREST), Ecole Nationale de la Statistique et de l'Analyse de l'Information Bruz (ENSAI)-École polytechnique (X)-École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Paris, Caroline Hillairet, Romuald Elie

Superior Title: https://theses.hal.science/tel-03752063 ; Statistics [math.ST]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAG002⟩.

Subject Terms: Actuarial science, Active learning, Fairness, Natural Language Processing, Actuariat, Apprentissage actif, Équité, Traitement Automatique du Langage Naturel, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.AP]Statistics [stat]/Applications [stat.AP], [STAT.ME]Statistics [stat]/Methodology [stat.ME], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Relation: NNT: 2022IPPAG002; tel-03752063; https://theses.hal.science/tel-03752063; https://theses.hal.science/tel-03752063/document; https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf

Availability: https://theses.hal.science/tel-03752063
https://theses.hal.science/tel-03752063/document
https://theses.hal.science/tel-03752063/file/108571_HU_2022_archivage.pdf


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