Analysis of Spatial Data with Chi-Square Copula

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

JAMSHIDI R.; SHAMS S.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF STATISTICAL SCIENCES Year:2020 | Volume:13 | Issue:2 Page(s): 0-0

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

823

Download:

Cites:

Information Journal Paper

Title

Analysis of Spatial Data with Chi-Square Copula

Author(s)

JAMSHIDI R. | SHAMS S. | Issue Writer Certificate

Keywords

Chi-square copulaQ1

Composite pairwise likelihoodQ1

Isotropic spatial random fieldQ1

Spatial interpolationQ1

Abstract

In this paper, a family of copula functions called Chi-square copula family is used for modeling the dependency structure of stationary and Isotropic spatial random fields. The dependence structure of this copula is such that, it generalizes the Gaussian copula and flexible for modeling for high-dimensional random vectors and unlike Gaussian copula it allows for modeling of tail asymmetric dependence structures. Since the density function of Chi-square copula in high dimension has computational complexity, therefore to estimate its parameters, a Composite pairwise likelihood method is used in which only bivariate density functions are used. The purpose of this paper is to investigate the properties of the Chi-square copula family, estimating its parameters with the Composite pairwise likelihood and its application in Spatial interpolation.

Cites

No record.

References

No record.

Cite

APA: Copy

JAMSHIDI, R., & SHAMS, S.. (2020). Analysis of Spatial Data with Chi-Square Copula. JOURNAL OF STATISTICAL SCIENCES, 13(2 ), 0-0. SID. https://sid.ir/paper/396755/en

Vancouver: Copy

JAMSHIDI R., SHAMS S.. Analysis of Spatial Data with Chi-Square Copula. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2020;13(2 ):0-0. Available from: https://sid.ir/paper/396755/en

IEEE: Copy

R. JAMSHIDI, and S. SHAMS, “Analysis of Spatial Data with Chi-Square Copula,” JOURNAL OF STATISTICAL SCIENCES, vol. 13, no. 2 , pp. 0–0, 2020, [Online]. Available: https://sid.ir/paper/396755/en

Related Journal Papers