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Journal of Applied Statistics Volume 42, 2015 - Issue 9
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Original Articles

Regression model for interval-valued variables based on copulas

Eufrásio de A. Lima NetoDepartment of Statistics, Federal University of Paraíba, Cidade Universitária, s/n, Postal Code 58051-900, João Pessoa (PB), BrazilCorrespondence[email protected]
&
Ulisses U. dos AnjosDepartment of Statistics, Federal University of Paraíba, Cidade Universitária, s/n, Postal Code 58051-900, João Pessoa (PB), Brazil
Pages 2010-2029 | Received 21 Jun 2013, Accepted 01 Feb 2015, Published online: 24 Feb 2015

Citations (11)

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Read on this site (1)

Yuan Wei, Shanshan Wang & Huiwen Wang. (2017) Interval-valued data regression using partial linear model. Journal of Statistical Computation and Simulation 87:16, pages 3175-3194.
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Articles from other publishers (10)

Min Xu & Zhongfeng Qin. (2022) A bivariate Bayesian method for interval-valued regression models. Knowledge-Based Systems 235, pages 107396.
Crossref
Brennan Bean, Yan Sun & Marc Maguire. (2022) Interval-valued kriging for geostatistical mapping with imprecise inputs. International Journal of Approximate Reasoning 140, pages 31-51.
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Francisco de A.T. de Carvalho, Eufrásio de A. Lima Neto & Ullysses da N. Rosendo. (2021) Interval joint robust regression method. Neurocomputing 465, pages 265-288.
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Francisco de A.T. de Carvalho, Eufrásio de A. Lima Neto & Kassio C.F. da Silva. (2021) A clusterwise nonlinear regression algorithm for interval-valued data. Information Sciences 555, pages 357-385.
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Yan Sun, Guanghua Lian, Zudi Lu, Jennifer Loveland & Isaac Blackhurst. (2019) Modeling the Variance of Return Intervals Toward Volatility Prediction. Journal of Time Series Analysis 41:4, pages 492-519.
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Marta García-Bárzana, Ana Belén Ramos-Guajardo, Ana Colubi & Erricos J. Kontoghiorghes. (2019) Multiple linear regression models for random intervals: a set arithmetic approach. Computational Statistics 35:2, pages 755-773.
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J. Zhang, M. Liu & M. Dong. (2019) Variational Bayesian inference for interval regression with an asymmetric Laplace distribution. Neurocomputing 323, pages 214-230.
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Eufrásio de A. Lima Neto & Francisco de A.T. de Carvalho. (2018) An exponential-type kernel robust regression model for interval-valued variables. Information Sciences 454-455, pages 419-442.
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Eufrásio de A. Lima Neto & Francisco de A. T. de Carvalho. (2016) Nonlinear regression applied to interval-valued data. Pattern Analysis and Applications 20:3, pages 809-824.
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Edwin Diday. (2016) Thinking by classes in data science: the symbolic data analysis paradigm. Wiley Interdisciplinary Reviews: Computational Statistics 8:5, pages 172-205.
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