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Published in 2024 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2839
Abstract: We consider a Markovian queueing model with abandonment where customer arrival, service and abandonment processes are all modulated by an external environmental process. The environmental process depicts all factors that affect the exponential arrival, service,…
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Keywords:
process;
markov;
bayesian analysis;
arrival service ... See more keywords
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Published in 2021 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-021-02727-4
Abstract: The mathematical method which will achieve the most accurate and precise age-at-death estimate from the adult skeleton is often debated. Some research promotes Bayesian analysis, which is widely considered better suited to the data construct…
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Keywords:
age death;
age;
bayesian analysis;
adult skeleton ... See more keywords
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Published in 2019 at "Behaviormetrika"
DOI: 10.1007/s41237-018-0059-7
Abstract: This study applies a new Bayesian univariate ordered probit model to happiness data on Australia, Canada, and the US, with immigration status and religion status reflecting individual heterogeneity in the threshold model. The empirical results…
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Keywords:
heterogeneity;
happiness individual;
bayesian analysis;
individual heterogeneity ... See more keywords
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Published in 2019 at "Annals of emergency medicine"
DOI: 10.1016/j.annemergmed.2019.05.009
Abstract: STUDY OBJECTIVE Intubation and laryngeal tube insertion are common airway management strategies in out-of-hospital cardiac arrest. Bayesian analysis offers an alternate statistical approach to assess the results of a trial. We use Bayesian analysis to…
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Keywords:
trial;
bayesian analysis;
hospital;
laryngeal tube ... See more keywords
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Published in 2020 at "Combustion and Flame"
DOI: 10.1016/j.combustflame.2019.11.035
Abstract: Abstract Bayesian analysis provides a framework for the inverse uncertainty quantification (UQ) of combustion kinetic models. As the workhorse of the Bayesian approach, the Markov chain Monte Carlo (MCMC) methods, however, incur a substantial computational…
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Keywords:
ann mcmc;
combustion;
surrogate;
bayesian analysis ... See more keywords
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Published in 2018 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927618003367
Abstract: The novel ultra-low voltage SEM Delta [1,2] allows electron spectroscopic imaging of both secondary (SE) and backscattered (BSE) electrons with a primary energy down to 50eV and a resolution better than 1nm. To recover the…
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Keywords:
sem;
bayesian analysis;
spectroscopic sem;
electron spectroscopic ... See more keywords
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Published in 2021 at "npj Quantum Information"
DOI: 10.1038/s41534-021-00447-6
Abstract: The method of classical shadows proposed by Huang, Kueng, and Preskill heralds remarkable opportunities for quantum estimation with limited measurements. Yet its relationship to established quantum tomographic approaches, particularly those based on likelihood models, remains…
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Keywords:
classical shadows;
estimation;
bayesian analysis;
analysis classical ... See more keywords
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Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-30952-z
Abstract: A comorbid hypertension was previously associated with survival advantages in patients with stroke. We aimed to explore how strong priors for the hypertension covariate affect the reverse association, as a way to test the sensitivity…
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Keywords:
using bayesian;
bayesian analysis;
hypertension;
understanding role ... See more keywords
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Published in 2017 at "Applied Economics"
DOI: 10.1080/00036846.2016.1270415
Abstract: ABSTRACT A Bayesian testing approach for a periodic unit root in quarterly and monthly data is presented. Further a Bayesian test is introduced to test for unit roots at (non)seasonal spectral frequencies. All procedures admit…
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Keywords:
unit;
unit roots;
bayesian analysis;
periodic unit ... See more keywords
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1549247
Abstract: Abstract A Bayesian analysis is developed for the Mann-Whitney (U) statistic. The analysis is focused on an Ω parameter, which is defined as the integrated proportion of the population in a generic experimental condition that…
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Keywords:
mann whitney;
analysis;
bayesian analysis;
whitney statistic ... See more keywords
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Published in 2019 at "Econometric Reviews"
DOI: 10.1080/07474938.2019.1630075
Abstract: Abstract We propose a moving average stochastic volatility in mean model and a moving average stochastic volatility model with leverage. For parameter estimation, we develop efficient Markov chain Monte Carlo algorithms and illustrate our methods,…
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Keywords:
stochastic volatility;
volatility;
volatility models;
bayesian analysis ... See more keywords