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 …

Maximum a posteriori probability estimates in infinite-dimensional Bayesian inverse problems

T Helin, M Burger - Inverse Problems, 2015 - iopscience.iop.org
A demanding challenge in Bayesian inversion is to efficiently characterize the posterior
distribution. This task is problematic especially in high-dimensional non-Gaussian problems …

Bayesian sensitivity analysis with the Fisher–Rao metric

S Kurtek, K Bharath - Biometrika, 2015 - academic.oup.com
We propose a geometric framework to assess sensitivity of Bayesian procedures to
modelling assumptions based on the nonparametric Fisher–Rao metric. While the …

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 …

Application of a vine copula for multi-line insurance reserving

H Jeong, D Dey - Risks, 2020 - mdpi.com
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 …

An online optimization algorithm for the real-time quantum state tomography

K Zhang, S Cong, K Li, T Wang - Quantum Information Processing, 2020 - Springer
Considering the presence of measurement noise in the continuous weak measurement
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 …

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 …

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 …

Bayesian model assessment and selection using Bregman divergence

G Goh, DK Dey - Advances in Statistics-Theory and Applications …, 2021 - Springer
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 …