Reliability analysis of operational metro tunnel based on a dynamic Bayesian copula model

W Liu, L Cai, J Chen, Y Wang, H Wu - Journal of Computing in Civil …, 2020 - ascelibrary.org
This paper develops a hybrid Bayesian copula model for the reliability analysis of an
operational metro tunnel in a dependent system in which risk factors interact with each other …

On a bivariate XGamma distribution derived from Copula

M Abulebda, AK Pathak, A Pandey, S Tyagi - Statistica, 2022 - rivista-statistica.unibo.it
In this paper, a new bivariate XGamma (BXG) distribution is presented using Farlie-Gumbel-
Morgenstern (FGM) copula. We derive the expressions for conditional distribution …

[HTML][HTML] Bayesian inference in extremes using the four-parameter kappa distribution

P Seenoi, P Busababodhin, JS Park - Mathematics, 2020 - mdpi.com
Maximum likelihood estimation (MLE) of the four-parameter kappa distribution (K4D) is
known to be occasionally unstable for small sample sizes and to be very sensitive to outliers …

On bivariate Teissier model using Copula: dependence properties, and case studies

S Tyagi - International Journal of System Assurance Engineering …, 2024 - Springer
To precisely represent bivariate continuous variables, this work presents an innovative
approach that emphasizes the interdependencies between the variables. The technique is …

Nonparametric bivariate density estimation for censored lifetimes

S Efromovich - The Annals of Statistics, 2022 - projecteuclid.org
It is well known that estimation of a bivariate cumulative distribution function of a pair of right
censored lifetimes presents challenges unparalleled to the univariate case where a product …

Dependence Structures of Soil Parameters in Sandy Clay

R He, C Wu, X Xing, J Li - ASCE-ASME Journal of Risk and …, 2021 - ascelibrary.org
The probability density distribution of soil parameters is of ultimate importance in reliability
analysis of a geotechnical structure. Constructing the probability density function often …

[HTML][HTML] Copula-based common cause failure models with Bayesian inferences

K Jin, K Son, G Heo - Nuclear Engineering and Technology, 2021 - Elsevier
In general, common cause failures (CCFs) have been modeled with the assumption that
components within the same group are symmetric. This assumption reduces the number of …

Point and interval evaluation of nanoparticles censored sample in the spray process

H Panahi, S Asadi - Journal of Particle Science and Technology, 2019 - jpst.irost.ir
A good nano coating depends on the quality of the collision and spreading behavior of the
nanoparticles. Unfortunately, in many cases, nanoparticle spreading data has not been …

การ ประมาณ ค่า แบบ เบ ส์ โดย ใช้ ขั้น ตอน วิธี เมโทร โพ ลิ ส-แฮ สติ ง ส์ ของ การ แจกแจง กั ม เบ ล แบบ ที่ 2

M Duangsaphon, P Surasen, J Sriyothee… - Thai Science and …, 2022 - li01.tci-thaijo.org
This research aims to compare the performance of the parameter estimation by the Bayesian
approach of the Gumbel type-II distribution on four methods, namely independent metropolis …

Байесовская эконометрика в финансовых исследованиях: проблемы и перспективы

ИК Ключников, АН Кольцов - Ученые записки Международного …, 2018 - elibrary.ru
В статье проводится структуризация направлений применения байесовской
эконометрики в финансах и определяются перспективы развития байесовского метода …