Nonparametric predictive inference with copulas for bivariate data

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:
QA Mathematics
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

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