Object
Title: Using Rank Tests and Threshold Copulas for Classification ofMultidimensional Data Sets
Co-author(s) :
Safaryan Irina ; Harutyunyan Narine
Abstract:
This report deals with classification of multidimensional data sets into statistically homogeneous groups and emphasizes the copula representation of the dependence between the components of a random vector. We present a nonparametric algorithm based on rank score test which allows reducing the investigation of changes in the joint distribution of a random vector components to investigation of some one-dimentional conditional distributions. Some applied examples are presented.
Identifier:
oai:noad.sci.am:135990
Language:
URL:
Additional Information:
eghishe@sci.am ; irinasafaryan@yandex.ru ; narineharutyunyan57@gmail.com
Affiliation:
Institute for Informatics and Automation Problems
Country:
Year:
Time period:
Conference title:
10 th International Conference on Computer Science and Information Technologies CSIT 2015
Place:
Participation type:
Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Conferences
Last modified:
Mar 3, 2021
In our library since:
Jul 28, 2020
Number of object content hits:
13
All available object's versions:
https://noad.sci.am/publication/149603
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Show description in OAI-PMH format:
| Edition name | Date |
|---|---|
| Evgueni Haroutunian, Using Rank Tests and Threshold Copulas for Classification ofMultidimensional Data Sets | Mar 3, 2021 |
