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Bootstrapping is a procedure for estimating the distribution of an estimator by resampling data or a model. Learn the history, approach, advantages, disadvantages and recommendations of bootstrapping in statistics.
Learn about different methods of creating new samples based on one observed sample, such as permutation tests, bootstrapping, cross-validation, jackknife and subsampling. Compare their advantages, disadvantages and applications in various fields of statistics.
In finance, bootstrapping is a method for constructing a (zero-coupon) fixed-income yield curve from the prices of a set of coupon-bearing products, e.g. bonds and swaps. [ 1 ] A bootstrapped curve , correspondingly, is one where the prices of the instruments used as an input to the curve, will be an exact output , when these same instruments ...
Bootstrap aggregating, or bagging, is a meta-algorithm that improves the stability and accuracy of machine learning algorithms by generating multiple models from bootstrap samples. It is often applied to decision tree methods, but can be used with any type of method.
Sobel's test is a method to assess whether a mediator variable accounts for some or all of the relationship between an independent and a dependent variable. It involves comparing the direct and indirect effects of the independent variable on the dependent variable, and testing the significance of the indirect effect.
Jackknife resampling is a statistical technique for bias and variance estimation based on omitting one observation at a time. Learn how to use the jackknife for mean estimation, bias correction, and variance estimation with examples and references.
Bootstrapping is a technique to alter the input impedance or output swing of an electronic circuit by using part of its output as feedback. Learn how bootstrapping is applied to MOSFETs, op-amps, switch-mode power supplies and digital integrated circuits.
Bootstrapping is a term that refers to various self-sustaining or self-improving processes that do not require external input. It can also be a metaphor for overcoming difficulties or achieving success by one's own efforts. Learn about the origin, applications and examples of bootstrapping in computing, software development and other fields.