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Joint Regression Analysis for Discrete Longitudinal Data

Madsen, L.; Fang, Y. - In: Biometrics 67 (2011) 3, pp. 1171-1175

Persistent link: https://www.econbiz.de/10010947151

Modified Gaussian pseudo-copula: Applications in insurance and finance

Fang, Y.; Madsen, L. - In: Insurance: Mathematics and Economics 53 (2013) 1, pp. 292-301

The Gaussian copula is by far the most popular copula for modeling the association in finance and insurance risk problems. However, one major drawback of Gaussian copula is that it intrinsically lacks the flexibility of modeling the tail dependence, which real life data often exhibit. In this...

Persistent link: https://www.econbiz.de/10010681885

Models for Estimating Abundance from Repeated Counts of an Open Metapopulation

Dail, D.; Madsen, L. - In: Biometrics 67 (2011) 2, pp. 577-587

Persistent link: https://www.econbiz.de/10010948484

Estimating Open Population Site Occupancy from Presence–Absence Data Lacking the Robust Design

Dail, D.; Madsen, L. - In: Biometrics 69 (2013) 1, pp. 146-156

Persistent link: https://www.econbiz.de/10010683979