In the field of artificial intelligence, the effective enhancement of reasoning abilities in large language models (LLMs) has always been a significant challenge. Recently, research teams from ...

This is a preview. Log in through your library . Abstract The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one’s data or a model estimated from ...

Subsampling and block-based bootstrap methods have been used in a wide range of inference problems for time series. To accommodate the dependence, these resampling methods involve a bandwidth ...