59 citations · 64 across the 9 of their papers we have counts for
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stat.CO2018
On the quantification and efficient propagation of imprecise probabilities with copula dependence
Jiaxin Zhang, Michael D. Shields
This paper addresses the problem of quantification and propagation of uncertainties associated with dependence modeling when data for characterizing probability models are limited.…
stat.CO2018
Probability measure changes in Monte Carlo simulation
Jiaxin Zhang, Michael D. Shields
The objective of Bayesian inference is often to infer, from data, a probability measure for a random variable that can be used as input for Monte Carlo simulation. When datasets fo…