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...

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Bibliographic Details
Main Authors: Noryanti, Muhammad, Coolen, Frank, Maturi, Tahani-Coolen, Norazlina, Ismail
Format: Book Chapter
Language:English
English
English
Published: UTM Press 2023
Subjects:
Online Access: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
http://umpir.ump.edu.my/id/eprint/42180/
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