Estimation in copula models with two-piece skewed margins using the inference for margins method

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Název: Estimation in copula models with two-piece skewed margins using the inference for margins method
Autoři: Jonas Baillien, Irène Gijbels, Anneleen Verhasselt
Zdroj: Econometrics and Statistics. 34:91-108
Informace o vydavateli: Elsevier BV, 2025.
Rok vydání: 2025
Témata: Science & Technology, Fisher information, Economics, Statistics & Probability, 05 social sciences, Social Sciences, Generalized method of moments, Skewed distributions, 01 natural sciences, 4905 Statistics, 3802 Econometrics, T COPULAS, Business & Economics, Physical Sciences, 0502 economics and business, Asymptotic normality, Consistency, 0101 mathematics, Mathematics
Popis: sponsorship: The authors thank an Associate Editor and two reviewers for their valuable comments, which led to an improvement of the manuscript. The first and second author gratefully acknowledge support from the Research Fund KU Leuven [C16/20/002 project] . The third author was supported by Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University [BOF14NI06] (Research Fund KU Leuven|C16/20/002, Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University|BOF14NI06)
Druh dokumentu: Article
Jazyk: English
ISSN: 2452-3062
DOI: 10.1016/j.ecosta.2022.05.002
Přístupová URL adresa: https://lirias.kuleuven.be/handle/20.500.12942/710126
https://doi.org/10.1016/j.ecosta.2022.05.002
Rights: Elsevier TDM
Přístupové číslo: edsair.doi.dedup.....d317dd7b71190dd4216e7407f61e114a
Databáze: OpenAIRE
Popis
Abstrakt:sponsorship: The authors thank an Associate Editor and two reviewers for their valuable comments, which led to an improvement of the manuscript. The first and second author gratefully acknowledge support from the Research Fund KU Leuven [C16/20/002 project] . The third author was supported by Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University [BOF14NI06] (Research Fund KU Leuven|C16/20/002, Special Research Fund (Bijzonder Onderzoeksfonds) of Hasselt University|BOF14NI06)
ISSN:24523062
DOI:10.1016/j.ecosta.2022.05.002