Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Cox regression in the problem of risky behavior parameter estimation based on the last episodes’ data. / Stoliarova , Valeriia F.; Tulupyev , Alexander L.
в: НАУЧНО-ТЕХНИЧЕСКИЕ ВЕДОМОСТИ САНКТ-ПЕТЕРБУРГСКОГО ГОСУДАРСТВЕННОГО ПОЛИТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ, Том 14, № 4, 2021, стр. 202-217.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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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