Dependence Modeling
2013 - 2025
Current editor(s): Giovanni Puccetti
From De Gruyter
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Volume 3, issue 1, 2015
- Bivariate copulas, norms and non-exchangeability pp. 7

- Papini Pier Luigi
- Quantile of a Mixture with Application to Model Risk Assessment pp. 10

- Bernard Carole and Steven Vanduffel
- A theory for non-linear prediction approach in the presence of vague variables: with application to BMI monitoring pp. 12

- Pourmousa R., Rezapour M. and Mashinchi M.
- Building bridges between Mathematics, Insurance and Finance: An interview with Paul Embrechts pp. 12

- Durante Fabrizio, Giovanni Puccetti and Scherer Matthias
- Equivalent or absolutely continuous probability measures with given marginals pp. 12

- Berti Patrizia, Pratelli Luca, Rigo Pietro and Spizzichino Fabio
- Multivariate Markov Families of Copulas pp. 13

- Overbeck Ludger and Schmidt Wolfgang M.
- An analysis of the Rüschendorf transform - with a view towards Sklar’s Theorem pp. 13

- Frank Oertel
- A Journey from Statistics and Probability to Risk Theory An interview with Ludger Rüschendorf pp. 14

- Durante Fabrizio, Giovanni Puccetti and Scherer Matthias
- Measuring association via lack of co-monotonicity: the LOC index and a problem of educational assessment pp. 15

- Qoyyimi Danang Teguh and Zitikis Ricardas
- Dependence Measuring from Conditional Variances pp. 15

- Kamnitui Noppadon, Santiwipanont Tippawan and Sumetkijakan Songkiat
- Seven Proofs for the Subadditivity of Expected Shortfall pp. 15

- Embrechts Paul and Wang Ruodu
- Cost-efficiency in multivariate Lévy models pp. 16

- Rüschendorf Ludger and Wolf Viktor
- A classification method for binary predictors combining similarity measures and mixture models pp. 16

- Sylla Seydou N., Girard Stéphane, Abdou Ka Diongue, Diallo Aldiouma and Sokhna Cheikh
- High level quantile approximations of sums of risks pp. 18

- Cuberos A., Masiello E. and Maume-Deschamps V.
- On the construction of low-parametric families of min-stable multivariate exponential distributions in large dimensions pp. 18

- Bernhart German, Mai Jan-Frederik and Scherer Matthias
- Forecasting time series with multivariate copulas pp. 24

- Simard Clarence and Rémillard Bruno
- On the tail dependence in bivariate hydrological frequency analysis pp. 25

- Lekina Alexandre, Chebana Fateh and Ouarda Taha B. M. J.
Volume 2, issue 1, 2014
- A note on the Galambos copula and its associated Bernstein function pp. 8

- Mai Jan-Frederik
- Solution to an open problem about a transformation on the space of copulas pp. 8

- Durante Fabrizio, Fernández-Sánchez Juan and Trutschnig Wolfgang
- Some New Random Effect Models for Correlated Binary Responses pp. 15

- Tounkara Fodé and Rivest Louis-Paul
- Copula-based dependence measures pp. 16

- Liebscher Eckhard
- Multivariate Extreme Value Theory - A Tutorial with Applications to Hydrology and Meteorology pp. 19

- Dutfoy Anne, Parey Sylvie and Roche Nicolas
- Quantifying the impact of different copulas in a generalized CreditRisk+ framework An empirical study pp. 21

- Jakob Kevin and Fischer Matthias
Volume 1, issue 2013, 2013
- On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators pp. 1-36

- Di Bernardino Elena and Didier Rulliere
- Bounds on Capital Requirements For Bivariate Risk with Given Marginals and Partial Information on the Dependence pp. 37-53

- Bernard Carole, Liu Yuntao, MacGillivray Niall and Zhang Jinyuan
- Are law-invariant risk functions concave on distributions? pp. 54-64

- Acciaio Beatrice and Svindland Gregor
- Prediction of time series by statistical learning: general losses and fast rates pp. 65-93

- Alquier Pierre, Li Xiaoyin and Olivier Wintenberger
- Prediction of time series by statistical learning: general losses and fast rates pp. 65-93

- Alquier Pierre, Li Xiaoyin and Olivier Wintenberger
- Dependence of Stock Returns in Bull and Bear Markets pp. 94-110

- Dobric Jadran, Frahm Gabriel and Schmid Friedrich
- Dependence of Stock Returns in Bull and Bear Markets pp. 94-110

- Dobric Jadran, Frahm Gabriel and Schmid Friedrich