Nonparametric predictive inference with copulas for bivariate data
Dependencies are important in many real applications. However, identifying and modelling dependencies between two or more related random quantities is a main challenge in statistics. The dependence structure in the models will be identified before any prediction or estimation can be performed toward...
| Main Authors: | , , , |
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| Format: | Book Chapter |
| Language: | English English English |
| Published: |
UTM Press
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42180/ http://umpir.ump.edu.my/id/eprint/42180/1/Cover%20-%20Copula%20modelling%20and%20its%20application.pdf http://umpir.ump.edu.my/id/eprint/42180/2/Intro%20-%20Nonparametric%20predictive%20inference%20with%20copulas%20for%20bivariate%20data.pdf http://umpir.ump.edu.my/id/eprint/42180/3/Nonparametric%20predictive%20inference%20with%20copulas%20for%20bivariate%20data.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/42180/http://umpir.ump.edu.my/id/eprint/42180/1/Cover%20-%20Copula%20modelling%20and%20its%20application.pdf
http://umpir.ump.edu.my/id/eprint/42180/2/Intro%20-%20Nonparametric%20predictive%20inference%20with%20copulas%20for%20bivariate%20data.pdf
http://umpir.ump.edu.my/id/eprint/42180/3/Nonparametric%20predictive%20inference%20with%20copulas%20for%20bivariate%20data.pdf