Standard

Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data. / Stoliarova , Valeriia F.; Tulupyev , Alexander L.

In: НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ, Vol. 14, No. 4, 2021, p. 202-217.

Research output: Contribution to journal › Article › peer-review

Harvard

Stoliarova , VF & Tulupyev , AL 2021, 'Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data', НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ, vol. 14, no. 4, pp. 202-217.

APA

Stoliarova , V. F., & Tulupyev , A. L. (Accepted/In press). Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data. НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ, 14(4), 202-217.

Vancouver

Stoliarova VF, Tulupyev AL. Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data. НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ. 2021;14(4):202-217.

Author

Stoliarova , Valeriia F. ; Tulupyev , Alexander L. / Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data. In: НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ. 2021 ; Vol. 14, No. 4. pp. 202-217.

BibTeX

@article{b49bebdb0f2f4a72bef7da010c7d247c,
title = "Cox regression in the problem of risky behavior parameter estimation based on the last episodes{\textquoteright} data",
abstract = "The article suggests an extension and refinement of the existing model for incomplete estimation of the person{\textquoteright}s behavior characteristics using several last episodes of his risky behavior and including individual characteristics and other factors, in particular, the sex, age, etc. This extension has been made with a novel approach to formalization of the gamma Poisson model of behavior based on the random point process theory. The general form of the likelihood function for the estimates was derived. This formalization allowed to use the Cox regression model for the estimation of the process intensity parameters on the condition of only three last episodes taking into account different characteristics of the domain. The possibilities of the chosen approach were shown using the data on publication of posts in the online social media.Citation",
keywords = "gamma Poisson model of behavior, mixed Poisson process, Cox regression, online media user profiling, гамма-пуассоновская модель поведения, смешанный процесс Пуассона, регрессия Кокса, профиль пользователя онлайн социальной сети",
author = "Stoliarova, {Valeriia F.} and Tulupyev, {Alexander L.}",
note = "Stoliarova V. F., Tulupyev A. L., Cox regression in the problem of risky behavior parameter estimation based on the last episodes{\textquoteright} data, St. Petersburg Polytechnical State University Journal. Physics and Mathematics. 14 (4) (2021) 202–217. DOI: https://doi. org/10.18721/JPM.14415",
year = "2021",
language = "English",
volume = "14",
pages = "202--217",
journal = "НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ",
issn = "2304-9782",
publisher = "Издательство Санкт-Петербургского Государственного Политехнического Университета",
number = "4",

}

RIS

TY - JOUR

T1 - Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data

AU - Stoliarova , Valeriia F.

AU - Tulupyev , Alexander L.

N1 - Stoliarova V. F., Tulupyev A. L., Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data, St. Petersburg Polytechnical State University Journal. Physics and Mathematics. 14 (4) (2021) 202–217. DOI: https://doi. org/10.18721/JPM.14415

PY - 2021

Y1 - 2021

N2 - The article suggests an extension and refinement of the existing model for incomplete estimation of the person’s behavior characteristics using several last episodes of his risky behavior and including individual characteristics and other factors, in particular, the sex, age, etc. This extension has been made with a novel approach to formalization of the gamma Poisson model of behavior based on the random point process theory. The general form of the likelihood function for the estimates was derived. This formalization allowed to use the Cox regression model for the estimation of the process intensity parameters on the condition of only three last episodes taking into account different characteristics of the domain. The possibilities of the chosen approach were shown using the data on publication of posts in the online social media.Citation

AB - The article suggests an extension and refinement of the existing model for incomplete estimation of the person’s behavior characteristics using several last episodes of his risky behavior and including individual characteristics and other factors, in particular, the sex, age, etc. This extension has been made with a novel approach to formalization of the gamma Poisson model of behavior based on the random point process theory. The general form of the likelihood function for the estimates was derived. This formalization allowed to use the Cox regression model for the estimation of the process intensity parameters on the condition of only three last episodes taking into account different characteristics of the domain. The possibilities of the chosen approach were shown using the data on publication of posts in the online social media.Citation

KW - gamma Poisson model of behavior

KW - mixed Poisson process

KW - Cox regression

KW - online media user profiling

KW - гамма-пуассоновская модель поведения

KW - смешанный процесс Пуассона

KW - регрессия Кокса

KW - профиль пользователя онлайн социальной сети

UR - https://physmath.spbstu.ru/en/article/2021.54.15/

M3 - Article

VL - 14

SP - 202

EP - 217

JO - НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ

JF - НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ

SN - 2304-9782

IS - 4

ER -

ID: 88776323