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A statistical method for corrupt agents detection. / Pichugin, Yury A. ; Malafeyev, Oleg A. ; Рылов, Denis ; Zaitseva, Irina.

INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). ed. / Charalambos Tsitouras; Theodore Simos. Vol. 1978 Thessaloniki : American Institute of Physics, 2018. 100014 (AIP Conference Proceedings; Vol. 1978, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Pichugin, YA, Malafeyev, OA, Рылов, D & Zaitseva, I 2018, A statistical method for corrupt agents detection. in C Tsitouras & T Simos (eds), INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). vol. 1978, 100014, AIP Conference Proceedings, no. 1, vol. 1978, American Institute of Physics, Thessaloniki, 15th International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017, Thessaloniki, Greece, 25/09/17. https://doi.org/10.1063/1.5043758, https://doi.org/10.1063/1.5043758

APA

Pichugin, Y. A., Malafeyev, O. A., Рылов, D., & Zaitseva, I. (2018). A statistical method for corrupt agents detection. In C. Tsitouras, & T. Simos (Eds.), INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017) (Vol. 1978). [100014] (AIP Conference Proceedings; Vol. 1978, No. 1). American Institute of Physics. https://doi.org/10.1063/1.5043758, https://doi.org/10.1063/1.5043758

Vancouver

Pichugin YA, Malafeyev OA, Рылов D, Zaitseva I. A statistical method for corrupt agents detection. In Tsitouras C, Simos T, editors, INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Vol. 1978. Thessaloniki: American Institute of Physics. 2018. 100014. (AIP Conference Proceedings; 1). https://doi.org/10.1063/1.5043758, https://doi.org/10.1063/1.5043758

Author

Pichugin, Yury A. ; Malafeyev, Oleg A. ; Рылов, Denis ; Zaitseva, Irina. / A statistical method for corrupt agents detection. INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). editor / Charalambos Tsitouras ; Theodore Simos. Vol. 1978 Thessaloniki : American Institute of Physics, 2018. (AIP Conference Proceedings; 1).

BibTeX

@inproceedings{8d40a3fad6464ec49d7753c94f0b2755,
title = "A statistical method for corrupt agents detection",
abstract = "The statistical method is used to identify the hidden leaders of the corruption structure. The method is based on principal component analysis (PCA), linear regression, and Shannon's information. It is applied to study the time series data of corrupt financial activity. Shannon's quantity of information is specified as a function of two arguments: a vector of hidden corruption factors and a subset of corrupt agents. Several optimization problems are solved to determine the contribution of corresponding corrupt agents to the total illegal behavior. An illustrative example is given.",
keywords = "CONSTRUCTION, DESIGNS",
author = "Pichugin, {Yury A.} and Malafeyev, {Oleg A.} and Denis Рылов and Irina Zaitseva",
year = "2018",
month = jul,
day = "10",
doi = "10.1063/1.5043758",
language = "English",
isbn = "978-0-7354-1690-1",
volume = "1978",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics",
number = "1",
editor = "Charalambos Tsitouras and Theodore Simos",
booktitle = "INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017)",
address = "United States",
note = "15th International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017 ; Conference date: 25-09-2017 Through 30-09-2017",

}

RIS

TY - GEN

T1 - A statistical method for corrupt agents detection

AU - Pichugin, Yury A.

AU - Malafeyev, Oleg A.

AU - Рылов, Denis

AU - Zaitseva, Irina

PY - 2018/7/10

Y1 - 2018/7/10

N2 - The statistical method is used to identify the hidden leaders of the corruption structure. The method is based on principal component analysis (PCA), linear regression, and Shannon's information. It is applied to study the time series data of corrupt financial activity. Shannon's quantity of information is specified as a function of two arguments: a vector of hidden corruption factors and a subset of corrupt agents. Several optimization problems are solved to determine the contribution of corresponding corrupt agents to the total illegal behavior. An illustrative example is given.

AB - The statistical method is used to identify the hidden leaders of the corruption structure. The method is based on principal component analysis (PCA), linear regression, and Shannon's information. It is applied to study the time series data of corrupt financial activity. Shannon's quantity of information is specified as a function of two arguments: a vector of hidden corruption factors and a subset of corrupt agents. Several optimization problems are solved to determine the contribution of corresponding corrupt agents to the total illegal behavior. An illustrative example is given.

KW - CONSTRUCTION

KW - DESIGNS

UR - http://www.scopus.com/inward/record.url?scp=85050005025&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/statistical-method-corrupt-agents-detection

U2 - 10.1063/1.5043758

DO - 10.1063/1.5043758

M3 - Conference contribution

AN - SCOPUS:85050005025

SN - 978-0-7354-1690-1

VL - 1978

T3 - AIP Conference Proceedings

BT - INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017)

A2 - Tsitouras, Charalambos

A2 - Simos, Theodore

PB - American Institute of Physics

CY - Thessaloniki

T2 - 15th International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017

Y2 - 25 September 2017 through 30 September 2017

ER -

ID: 36184200