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  2. Bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping

    Bootstrapping is a self-starting process that continues or grows without external input. It can also mean to better oneself by one's own unaided efforts, or to develop software or hardware with simpler tools. Learn the origin and usage of the term in computing, economics and philosophy.

  3. Bootstrap (front-end framework) - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_(front-end...

    Bootstrap is a free and open-source library that simplifies the creation of responsive, mobile-first web pages with HTML, CSS and JS. It provides design templates, components and utilities for typography, forms, navigation, and more.

  4. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    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.

  5. Resampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Resampling_(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.

  6. Mediation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Mediation_(statistics)

    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.

  7. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Bootstrap aggregating, or bagging, is a machine learning ensemble meta-algorithm that improves stability and accuracy of classification and regression methods. It generates multiple training sets by sampling with replacement from the original dataset and combines the models by averaging or voting.

  8. Cross compiler - Wikipedia

    en.wikipedia.org/wiki/Cross_compiler

    A cross compiler is a compiler that creates executable code for a platform other than the one it runs on. Learn why and how cross compilers are useful for embedded systems, multiple machines, server farms, bootstrapping, and Canadian Cross technique.

  9. Bootstrapping (finance) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(finance)

    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 ...