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1. Vine copula based structural equation models. (2025). Czado, Claudia.
   In: Computational Statistics & Data Analysis.
   RePEc:eee:csdana:v:203:y:2025:i:c:s0167947324001609.

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2. Assessing copula models for mixed continuous-ordinal variables. (2024). Shenyi, Pan ; Harry, Joe.
   In: Dependence Modeling.
   RePEc:vrs:demode:v:12:y:2024:i:1:p:18:n:1001.

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3. Copula-Based Regression with Mixed Covariates. (2024). Mesfioui, Mhamed ; Aldahmani, Saeed ; Kortbi, Othmane.
   In: Mathematics.
   RePEc:gam:jmathe:v:12:y:2024:i:22:p:3525-:d:1518809.

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4. Copula-based link functions in binary regression models. (2023). Bouezmarni, T ; Mesfioui, M ; Belalia, M.
   In: Statistical Papers.
   RePEc:spr:stpapr:v:64:y:2023:i:2:d:10.1007_s00362-022-01330-y.

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5. Factor Tree Copula Models for Item Response Data. (2023). Kadhem, Sayed H ; Nikoloulopoulos, Aristidis K.
   In: Psychometrika.
   RePEc:spr:psycho:v:88:y:2023:i:3:d:10.1007_s11336-023-09917-6.

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6. Bayesian ridge regression for survival data based on a vine copula-based prior. (2023). Emura, Takeshi ; Michimae, Hirofumi.
   In: AStA Advances in Statistical Analysis.
   RePEc:spr:alstar:v:107:y:2023:i:4:d:10.1007_s10182-022-00466-4.

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7. Modelling credit card exposure at default using vine copula quantile regression. (2023). Choudhry, Taufiq ; Wattanawongwan, Suttisak ; Okhrati, Ramin ; So, Mee Chi ; Mues, Christophe.
   In: European Journal of Operational Research.
   RePEc:eee:ejores:v:311:y:2023:i:1:p:387-399.

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8. Nonparametric C- and D-vine-based quantile regression. (2022). Jing, Zhou ; Marija, Tepegjozova ; Claudia, Czado ; Gerda, Claeskens.
   In: Dependence Modeling.
   RePEc:vrs:demode:v:10:y:2022:i:1:p:1-21:n:1.

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9. Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients. (2022). Emura, Takeshi ; Michimae, Hirofumi.
   In: Computational Statistics.
   RePEc:spr:compst:v:37:y:2022:i:5:d:10.1007_s00180-022-01213-8.

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10. Predicting times to event based on vine copula models. (2022). Pan, Shenyi ; Joe, Harry.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:175:y:2022:i:c:s0167947322001268.

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11. Explaining predictive models using Shapley values and non-parametric vine copulas. (2021). Thomas, Nagler ; Anders, Loland ; Martin, Jullum ; Kjersti, Aas.
    In: Dependence Modeling.
    RePEc:vrs:demode:v:9:y:2021:i:1:p:62-81:n:1.

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12. A New Machine Learning Forecasting Algorithm Based on Bivariate Copula Functions. (2021). Nieto, M ; Velez, J F ; Carrillo, J A.
    In: Forecasting.
    RePEc:gam:jforec:v:3:y:2021:i:2:p:23-376:d:563347.

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13. Understanding near-miss count data on construction sites using greedy D-vine copula marginal regression. (2021). Li, Heng ; Wang, Fan ; Dong, Chao.
    In: Reliability Engineering and System Safety.
    RePEc:eee:reensy:v:213:y:2021:i:c:s0951832021002258.

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14. On the copula correlation ratio and its generalization. (2021). Emura, Takeshi ; Shih, Jia-Han.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:182:y:2021:i:c:s0047259x2030289x.

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15. Simplified R-vine based forward regression. (2021). Zhu, Kailun ; Nane, Gabriela F ; Kurowicka, Dorota.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:155:y:2021:i:c:s0167947320301821.

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16. Vine copula regression for observational studies. (2020). Cooke, Roger ; Joe, Harry ; Chang, BO.
    In: AStA Advances in Statistical Analysis.
    RePEc:spr:alstar:v:104:y:2020:i:2:d:10.1007_s10182-019-00353-5.

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17. Copula-based regression models with data missing at random. (2020). Hamori, Shigeyuki ; Zhang, Zheng ; Motegi, Kaiji.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:180:y:2020:i:c:s0047259x20302359.

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18. Distillation of News Flow into Analysis of Stock Reactions. (2020). Hardle, Wolfgang Karl ; Zhang, Junni L ; Bommes, Elisabeth ; Chen, Cathy Y.
    In: Papers.
    RePEc:arx:papers:2009.10392.

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19. Market-Risk Optimization among the Developed and Emerging Markets with CVaR Measure and Copula Simulation. (2019). Tiwari, Aviral ; Trabelsi, Nader.
    In: Risks.
    RePEc:gam:jrisks:v:7:y:2019:i:3:p:78-:d:246399.

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20. On the robustness of portfolio allocation under copula misspecification. (2018). Prigent, Jean-Luc ; ben Saida, Abdallah.
    In: Annals of Operations Research.
    RePEc:spr:annopr:v:262:y:2018:i:2:d:10.1007_s10479-016-2137-0.

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21. Dependence structure of market states. (2015). Schafer, Rudi ; Chetalova, Desislava.
    In: Papers.
    RePEc:arx:papers:1503.09004.

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22. Robust portfolio optimization with copulas. (2014). Kakouris, Iakovos ; Rustem, Ber.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:235:y:2014:i:1:p:28-37.

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23. Portfolio optimization in the presence of dependent financial returns with long memory: A copula based approach. (2013). Sghaier, Nadia ; Boubaker, Heni.
    In: Journal of Banking & Finance.
    RePEc:eee:jbfina:v:37:y:2013:i:2:p:361-377.

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24. Integrated bank risk modeling: A bottom-up statistical framework. (2013). bellini, tiziano.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:230:y:2013:i:2:p:385-398.

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25. Forward search outlier detection in data envelopment analysis. (2012). bellini, tiziano.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:216:y:2012:i:1:p:200-207.

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26. Checking for asymmetric default dependence in a credit card portfolio: A copula approach. (2011). Crook, Jonathan ; Moreira, Fernando.
    In: Journal of Empirical Finance.
    RePEc:eee:empfin:v:18:y:2011:i:4:p:728-742.

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27. Copula‐Based Formulas to Estimate Unexpected Credit Losses (The Future of Basel Accords?). (2010). Moreira, Fernando F.
    In: Financial Markets, Institutions & Instruments.
    RePEc:wly:finmar:v:19:y:2010:i:5:p:381-404.

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28. Quantifizierung von Abhängigkeitsstrukturen zwischen Risiken in Versicherungsunternehmen. (2009). Nguyen, Tristan ; Molinari, Robert Danilo .
    In: German Risk and Insurance Review (GRIR).
    RePEc:zbw:grirej:68730.

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29. Nuevas Herramientas para la Administración del Riesgo Crediticio: El caso de una Cartera Crediticia Ecuatoriana. (2008). Pazmio, Mariela ; Maldonado, Diego.
    In: MPRA Paper.
    RePEc:pra:mprapa:17163.

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