Bootstrap resampling repeatedly samples with replacement from an existing dataset to estimate the sampling distribution of a statistic. It is a computational way to gauge uncertainty without assuming a full parametric population model. Confidence intervals and stability checks often use it. This is not the fixed-income process of bootstrapping spot rates from coupon bond prices.