What are other resampling techniques?

What are other resampling techniques besides bootstrapping?

In addition to bootstrapping, other resampling techniques include cross-validation, permutation tests, and jackknife resampling.

Can you explain how cross-validation works?

Sure! Cross-validation involves partitioning the data into subsets, training the model on some subsets, and validating it on others to assess its performance.

What is the purpose of permutation tests?

Permutation tests are used to determine the significance of a statistic by comparing it to the distribution of the statistic under the null hypothesis.

How does jackknife resampling differ from bootstrapping?

Jackknife resampling systematically leaves out one observation at a time from the dataset, while bootstrapping involves sampling with replacement.

Are there any specific scenarios where one technique is preferred over the others?

Yes, the choice depends on the data and the analysis goals. For example, cross-validation is great for model evaluation, while bootstrapping is useful for estimating confidence intervals.