A Bayesian sampling optimisation strategy for finite element model updating
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Civil Structural Health Monitoring"
DOI: 10.1007/s13349-023-00759-5
Abstract: Model Updating (MU) aims to estimate the unknown properties of a physical system of interest from experimental observations. In Finite Element (FE) models, these unknowns are the elements’ parameters. Typically, besides model calibration purposes, MU… read more here.
Keywords: bayesian sampling; model updating; sampling optimisation; finite element ... See more keywords
Curtailed Bayesian sampling plans for exponential distributions based on Type-II censored samples
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2016.1254215
Abstract: ABSTRACT This paper studies the problem of designing a curtailed Bayesian sampling plan (CBSP) with Type-II censored data. We first derive the Bayesian sampling plan (BSP) for exponential distributions based on Type-II censored samples in… read more here.
Keywords: bayesian sampling; type censored; sampling; function ... See more keywords
Designing efficient Bayesian sampling plans for two-component exponential distributions model
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2024.2447862
Abstract: This article studies a method about how to design efficient Bayesian sampling plans based on samples collected from two-component exponential distributions. First, based on a complete sampling, for a general loss function, a Bayes decision… read more here.
Keywords: bayesian sampling; efficient bayesian; delta scriptscriptstyle; two component ... See more keywords
Designing efficient Bayesian sampling plans for two-parameter exponential distribution with censored data
Sign Up to like & getrecommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2025.2496688
Abstract: Abstract. This article studies a method about how to design Bayesian sampling plans for two-parameter exponential distributions E(μ, λ) based on Type-II censored samples. With a linear loss of the expected life time θ=μ+1/λ, a… read more here.
Keywords: two parameter; bayesian sampling; plans two; efficient bayesian ... See more keywords
A Novel and Highly Effective Bayesian Sampling Algorithm Based on the Auxiliary Variables to Estimate the Testlet Effect Models
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DOI: 10.3389/fpsyg.2021.509575
Abstract: In this paper, a new two-parameter logistic testlet response theory model for dichotomous items is proposed by introducing testlet discrimination parameters to model the local dependence among items within a common testlet. In addition, a… read more here.
Keywords: sampling algorithm; testlet effect; testlet; bayesian sampling ... See more keywords
A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization
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DOI: 10.3390/e23111426
Abstract: Stochastic gradient sg-based algorithms for Markov chain Monte Carlo sampling (sgmcmc) tackle large-scale Bayesian modeling problems by operating on mini-batches and injecting noise on sgsteps. The sampling properties of these algorithms are determined by user… read more here.
Keywords: bayesian sampling; scalable bayesian; gradient; stochastic gradient ... See more keywords