Alfonso Suárez-Llorens

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Bayes decision problems require subjective elicitation of the inputs: beliefs and preferences. Sometimes, elicitation methods may not perfectly represent the Decision Maker's judgements. Several foundations propose to overlay this problem using robust approaches. In these models, beliefs are modelled by a class of probability distributions and preferences(More)
Keywords: Robustness Sensitivity analysis Class of loss functions Class of priors Conditional C-minimax actions Posterior regret Dominance Poisson distributions a b s t r a c t Researches in Bayesian sensitivity analysis and robustness have mainly dealt with the computation of the range of some quantities of interest when the prior distribution varies in(More)
The statistical literature contains many univariate and multivariate skewness measures that allow two datasets to be compared, some of which are defined in terms of quantile values. In most situations, the comparison between two random vectors focuses on univariate comparisons of conditional random variables truncated in quantiles; this kind of comparison(More)
Alzheimer's disease (AD) is the most common cause of dementia in the adult population. Tools capable of detecting predementia and established diagnoses of dementia are very important for assessing these patients. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) is a brief neuropsychological battery that has been successful at(More)
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