Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables
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Publication:830101
DOI10.1016/j.csda.2021.107201OpenAlexW3132125355MaRDI QIDQ830101
Fabrizio Durante, F. Marta L. Di Lascio, Sebastian Fuchs
Publication date: 7 May 2021
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.04799
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- Selecting and estimating regular vine copulae and application to financial returns
- Clustering dependent observations with copula functions
- Copula-induced measures of concordance
- Multivariate measures of concordance for copulas and their marginals
- A biconvex form for copulas
- Model-based clustering using copulas with applications
- Measuring association and dependence between random vectors
- A review of copula models for economic time series
- Distributions with given marginals: the beginnings. An interview with Giorgio Dall'Aglio
- An introduction to copulas.
- Agglomerative hierarchical clustering of continuous variables based on mutual information
- Multivariate conditional versions of Spearman's rho and related measures of tail dependence
- Multivariate comonotonicity
- The concept of comonotonicity in actuarial science and finance: theory.
- Some remarks on the supermodular order
- Kendall's tau and agglomerative clustering for structure determination of hierarchical Archimedean copulas
- Characterizations of copulas attaining the bounds of multivariate Kendall's tau
- Dynamic tail dependence clustering of financial time series
- On the centennial anniversary of Gini's theory of statistical relations
- Detection of block-exchangeable structure in large-scale correlation matrices
- Extremal dependence concepts
- Multivariate concordance
- On the specification of multivariate association measures and their behaviour with increasing dimension
- On minimal copulas under the concordance order
- Clustering of financial instruments using jump tail dependence coefficient
- A note on generalized inverses
- A double clustering algorithm for financial time series based on extreme events
- Clustering of financial time series in risky scenarios
- Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages
- Multivariate versions of Blomqvist's beta and Spearman's footrule
- Clustering of time series via non-parametric tail dependence estimation
- ESTIMATORS BASED ON KENDALL'S TAU IN MULTIVARIATE COPULA MODELS
- Measuring Comonotonicity in M-Dimensional Vectors
- Cluster Analysis
- Dependence Modeling with Copulas
- Simulating Copulas
- Model-based clustering of Gaussian copulas for mixed data
- A Review of Hierarchical Classification
- Dissimilarity measure for ranking data via mixture of copulae*
- Maximum likelihood estimation of mixed C-vines with application to exchange rates
- A copula‐based risk aggregation model
- Principles of Copula Theory
- Admissible clustering procedures
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