Identifiability and estimation of recursive max‐linear models
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DOI: 10.1111/sjos.12446
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References listed on IDEAS
- Sebastian Engelke & Adrien S. Hitz, 2020. "Graphical models for extremes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(4), pages 871-932, September.
- Einmahl, John & Kiriliouk, Anna & Segers, Johan, 2016.
"A continuous updating weighted least squares estimator of tail dependence in high dimensions,"
LIDAM Discussion Papers ISBA
2016002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Einmahl, John H. J. & Kiriliouk, Anna & Segers, Johan, 2018. "A continuous updating weighted least squares estimator of tail dependence in high dimensions," LIDAM Reprints ISBA 2018019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Einmahl, John & Kiriliouk, A. & Segers, J.J.J., 2016. "A Continuous Updating Weighted Least Squares Estimator of Tail Dependence in High Dimensions," Discussion Paper 2016-002, Tilburg University, Center for Economic Research.
- Einmahl, John & Kiriliouk, A. & Segers, J.J.J., 2016. "A Continuous Updating Weighted Least Squares Estimator of Tail Dependence in High Dimensions," Other publications TiSEM a3e7350b-4773-4bd8-9c3c-6, Tilburg University, School of Economics and Management.
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Cited by:
- Asenova, Stefka & Segers, Johan, 2022. "Max-linear graphical models with heavy-tailed factors on trees of transitive tournaments," LIDAM Discussion Papers ISBA 2022031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Klüppelberg, Claudia & Sönmez, Ercan, 2022. "Max-linear models in random environment," Journal of Multivariate Analysis, Elsevier, vol. 190(C).
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