HALathon 2021 UPPA

Les communications que vous pouvez déposer

• Avec actes : Si colloque au moins annuel dont les actes sont publiés par le même éditeur (collection ou revue).

• Sans actes (donc non-publiée, vous êtes pleinement propriétaire des droits) :

  • Texte de votre communication en Document principal

  • Support de présentation (slides) en annexe

Références complètes

1. Ivan Kojadinovic. Assessing time series stationarity by combining change-point detection tests of different types. Workshop Change Point Detection: Limit Theorems, Algorithms, and Applications in Life Sciences, Jul 2019, Greifswald, Germany. ⟨hal-02388654⟩
2. Ivan Kojadinovic. A fast large-sample alternative to the parametric bootstrap in goodness-of-fit testing. 4th WORKSHOP ON GOODNESS-OF-FIT, CHANGE-POINT AND RELATED PROBLEMS, Sep 2019, Trento, Italy. ⟨hal-02388659⟩
3. Ivan Kojadinovic. Selected copula tests and models for multivariate time series. CRoNoS MDA 2018, 2018, Limassol, Cyprus. ⟨hal-02138429⟩
4. Florian Arnoux, Stéphane Abadie, Ivan Kojadinovic. Analyse statistique du lien entre les variables d’aléa et les dommages par submersion. XVèmes Journées Nationales Génie Côtier - Génie Civil, 2018, La Rochelle, France. ⟨hal-02388615⟩
5. F. Arnoux, Stéphane Abadie, Ivan Kojadinovic. On the Return Period of Winter 2013-2014 on the Basque Coast Focusing on Flooding Damages. ISOBAY 2018, Jun 2018, Anglet, France. ⟨hal-02162531⟩
6. F. Arnoux, Stéphane Abadie, Ivan Kojadinovic. A Database to Statistically Study Storm Impact on the Basque Coast. UHINAK Conference, 2018, Ficoba, Spain. ⟨hal-02154269⟩
7. Ivan Kojadinovic. Adapting some copula inference procedures to the presence of ties. Dependence modeling tools for risk management, Oct 2017, Montréal, Canada. ⟨hal-02388627⟩
8. Ivan Kojadinovic. Copula-based modeling of continuous multivariate distributions with R. CMStatistics, Dec 2017, Londres, United Kingdom. ⟨hal-02388619⟩
9. Ivan Kojadinovic. Dealing with non-stationarity, serial dependence and ties in copula inference. CMStatistics, Dec 2017, Londres, United Kingdom. ⟨hal-02388623⟩
10. Ivan Kojadinovic. All (copula) models are wrong but some are useful. Semaine scientifique “Extremes – Copulas – Actuarial science”, Centre International de Rencontres Mathématiques (CIRM), Feb 2016, Marseille, France. ⟨hal-02388645⟩
11. Ivan Kojadinovic. Modeling continuous multivariate distributions with copulas. Summer school “Copulas for hydrology and climate”, Centro Studi Alpino dela Università degli Studi della Tuscia, Jul 2016, Pieve Tesino, Italy. ⟨hal-02388634⟩
12. F. Arnoux, Stéphane Abadie, Ivan Kojadinovic, Philippe Maron. 2013-2014 : Statistical Characterization of a Highly Damaging Winter. EUCC Littoral 2016, Biarritz, Octobre 2016, 2016, Biarritz, France. ⟨hal-02154281⟩
13. Ivan Kojadinovic, A.  Bücher, J-F.  Quessy, Segers Rohmer. Two nonparametric tests of copula constancy in multivariate time series. ERCIM, December 6-8, 2014, Pisa, Italy, 2014, Pisa, Italy. ⟨hal-02158621⟩
14. Ivan Kojadinovic. Copula modeling and related tests. Summer School « Copulas for hydrology and climate », University of California, Irvine, July 2014, 2014, Irvine, California, United States. ⟨hal-02158619⟩
15. Ivan Kojadinovic, A.  Bücher. Tests d'appartenance à la famille des copules de valeurs extrêmes. Reunion MULTIRISK, Projet LEFE/MANU 2014-2016, 20-21 novembre 2014, 2014, Paris, France. ⟨hal-02158620⟩
16. Ivan Kojadinovic, H.  Shang, J. Yan. Goodness-of-fit tests for spatial extremes models based on max-stable processes. ERCIM, December 1-3, 2012, Oviedo, Spain, 2012, Unknown. ⟨hal-00868438⟩
17. Laurent Bordes, Ivan Kojadinovic, Pierre Vandekerkhove. Semiparametric estimation of a twocomponents mixture of regression models. SPO, septembre 2011, Jaca, Espagne, 2011, Unknown. ⟨hal-00868143⟩
18. Ivan Kojadinovic. Introduction to the theory and practice of copulas. SHORT COURSE "Copula Function: Theory and Practice", Viterbo, Italy July, 18-22, 2011, 2011, Unknown. ⟨hal-00868165⟩
19. Laurent Bordes, Ivan Kojadinovic, Pierre Vandekerkhove. Moment estimation method for a two-component mixture regression model when a component is known. Statistics and Modeling for Complex Data, 22-24, June, 2011, Marne-la-Vallée, France., 2011, Unknown. ⟨hal-00868164⟩
20. Ivan Kojadinovic. Fast large-sample goodness-of-fit tests for copulas. 7th International Conference on Multivariate Distributions with Applications, 8-13 août 2010, Maresias, Brazil, 2010, Unknown. ⟨hal-00868175⟩
21. Ivan Kojadinovic, Jean-Luc Marichal. On the moments and the distribution of the Choquet integral. 5th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2007), 2007, Ostrava, Czech Republic. pp.305-312. ⟨hal-00423591⟩
22. Hélène Desmier, Ivan Kojadinovic, Pascale Kuntz. Approximations k-additives de l'information mutuelle pour la sélection de variables dans les problèmes de discrimination. 38èmes journées de la Société Française de Statistiques (SFDS), 2006, Clamart, France. ⟨hal-00462969⟩
23. Ivan Kojadinovic. Approximation and identification of capacities and bi-capacities using a minimum distance principle. 27th Linz Seminar on Fuzzy Set Theory Preferences, Games and Decisions, 2006, Linz, Austria, Autriche. pp.83--86. ⟨hal-00446378⟩
24. Michel Grabisch, Ivan Kojadinovic, Patrick Meyer. Using the Kappalab R package for Choquet integral based multi-attribute utility theory. International Conference on Information Processing and Management of Uncertainty, Jul 2006, Paris, France. pp.1702-1709. ⟨halshs-00186898⟩
25. Ivan Kojadinovic. On the use of mutual information in data analysis: an overview. 11th international symposium on Applied Stochastic Models and Data Analysis (ASMDA'05), 2005, Brest, France, France. pp.738--747. ⟨hal-00446379⟩
26. Ivan Kojadinovic. A maximum quadratic entropy principle for capacity identification. 4th conference of the EUropean Society for Fuzzy Logic And Technology (EUSFLAT'05), 2005, Barcelona, Spain, Spain. pp.216--221. ⟨hal-00446380⟩
27. Ivan Kojadinovic, Jean-Luc Marichal. An extension of the Shannon entropy to bi-capacities. 3rd international summer school on AGgregation OPerators (AGOP'05), 2005, Lugano, Switzerland, Switzerland. pp.67--72. ⟨hal-00446382⟩
28. Ivan Kojadinovic. Unsupervised aggregation by the discrete Choquet integral based on entropy functionals~: application to the evaluation of students. Conference on Modeling Decisions for Artificial Intelligence (MDAI'04), Lecture Notes in Artificial Intelligence (LNAI 3131), 2004, Barcelona, Spain, Spain. pp.163--174. ⟨hal-00446381⟩

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Des remarques, des corrections ou des questions ? Contactez-nous ::: hal@univ-pau.fr ::: (Gaëlle, Marina, Julien) ::: HALathon, mode d'emploi :::

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