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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…
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Keywords:
bayesian sampling;
type censored;
sampling;
function ... See more keywords
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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…
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Keywords:
sampling algorithm;
testlet effect;
testlet;
bayesian sampling ... See more keywords
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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…
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Keywords:
bayesian sampling;
scalable bayesian;
gradient;
stochastic gradient ... See more keywords