2012/04/11 by Marius Hofert, Hofert, Marius, David N. Pham +1
Computer Science · Economics, Econometrics and Finance · Mathematics · #62F10 #62H12 #62H99 #65C60 #Bayesian Methods and Mixture Models #Complex Systems and Time Series Analysis #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Other Statistics (stat.OT) #Probability and Statistical Research #Statistics Theory (math.ST)
paper · pdf · doi:10.48550/arxiv.1204.2410
openalex publication_date 2012/04/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Nested Archimedean copulas recently gained interest since they generalize the well-known class of Archimedean copulas to allow for partial asymmetry. Sampling algorithms and strategies have been well investigated for nested Archimedean copulas. However, for likelihood based inference it is important to have the density. The present work fills this gap. A general formula for the derivatives of the nodes and inner generators appearing in nested Archimedean copulas is developed. This leads to a tractable formula for the density of nested Archimedean copulas in arbitrary dimensions if the number of nesting levels is not too large. Various examples including famous Archimedean families and transformations of such are given. Furthermore, a numerically efficient way to evaluate the log-density is presented.