This study extends the CAPM by separating market beta into positive and negative components, showing that only negative beta earns significant risk premia.
Machine learning integration into professional diagnosis depends on the usefulness, completeness and timing of its outputs within existing work systems.
A queueing-based Bayesian framework combines contextual knowledge and limited prevalence data to provide local estimates of severe acute malnutrition burden.
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