Articles with "bayesian sampling" as a keyword



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Curtailed Bayesian sampling plans for exponential distributions based on Type-II censored samples

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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
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A Novel and Highly Effective Bayesian Sampling Algorithm Based on the Auxiliary Variables to Estimate the Testlet Effect Models

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Published in 2021 at "Frontiers in Psychology"

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
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A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization

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Published in 2021 at "Entropy"

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