Planning of step-stress accelerated degradation test based on the inverse Gaussian process
H Wang, G Wang, F Duan - Reliability Engineering & System Safety, 2016 - Elsevier
The step-stress accelerated degradation test (SSADT) is a useful tool for assessing the
lifetime distribution of highly reliable or expensive product. Some efficient SSADT plans …
lifetime distribution of highly reliable or expensive product. Some efficient SSADT plans …
Maximum a posteriori probability estimates in infinite-dimensional Bayesian inverse problems
A demanding challenge in Bayesian inversion is to efficiently characterize the posterior
distribution. This task is problematic especially in high-dimensional non-Gaussian problems …
distribution. This task is problematic especially in high-dimensional non-Gaussian problems …
Testing for random effects in compound risk models via Bregman divergence
H Jeong - ASTIN Bulletin: The Journal of the IAA, 2020 - cambridge.org
The generalized linear model (GLM) is a statistical model which has been widely used in
actuarial practices, especially for insurance ratemaking. Due to the inherent longitudinality of …
actuarial practices, especially for insurance ratemaking. Due to the inherent longitudinality of …
Application of a vine copula for multi-line insurance reserving
This article introduces a novel use of the vine copula which captures dependence among
multi-line claim triangles, especially when an insurance portfolio consists of more than two …
multi-line claim triangles, especially when an insurance portfolio consists of more than two …
An online optimization algorithm for the real-time quantum state tomography
Considering the presence of measurement noise in the continuous weak measurement
process, the optimization problem of online quantum state tomography (QST) with …
process, the optimization problem of online quantum state tomography (QST) with …
Myopic robust index tracking with Bregman divergence
S Penev, PV Shevchenko, W Wu - Quantitative Finance, 2022 - Taylor & Francis
Index tracking is a popular form of asset management. Typically, a quadratic function is used
to define the tracking error of a portfolio and the look back approach is applied to solve the …
to define the tracking error of a portfolio and the look back approach is applied to solve the …
Bayesian and robust Bayesian analysis in a general setting
A Karimnezhad, A Parsian - Communications in Statistics-Theory …, 2019 - Taylor & Francis
In this paper we introduce a broad family of loss functions based on the concept of Bregman
divergence. We deal with both Bayesian estimation and prediction problems and show that …
divergence. We deal with both Bayesian estimation and prediction problems and show that …
Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis
VG Cancho, B Yiqi, JA Fiorucci… - … in Statistics-Theory …, 2018 - Taylor & Francis
The purpose of this paper is to develop a Bayesian analysis for the zero-inflated hyper-
Poisson model. Markov chain Monte Carlo methods are used to develop a Bayesian …
Poisson model. Markov chain Monte Carlo methods are used to develop a Bayesian …
Bayesian model assessment and selection using Bregman divergence
One of the fundamental steps in statistical modeling is to select the best-fitting model from a
set of candidate models for given data. In this paper, based on Bayesian decision theory, we …
set of candidate models for given data. In this paper, based on Bayesian decision theory, we …