The time it takes to resolve defaulted bank loans affects how much money is ultimately lost. Traditional models don't fully account for this, leading to underestimations of losses. A new method using Bayesian modeling helps predict final loss rates more accurately by considering the time a loan has been in default. This approach can be applied to other situations where outcomes depend on how long a process lasts and are influenced by censoring.