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20182024
most citedA robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis

11 citations · 26 across the 6 of their papers we have counts for

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math.ST2024★ 1 cited

Regret-based budgeted decision rules under severe uncertainty

Nawapon Nakharutai, Sébastien Destercke, Matthias C. M. Troffaes

One way to make decisions under uncertainty is to select an optimal option from a possible range of options, by maximizing the expected utilities derived from a probability model.…