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  2. Bootstrapping (statistics) - Wikipedia

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

    Bootstrapping (statistics) Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data. [1] Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates. [2][3] This technique ...

  3. Temporal paradox - Wikipedia

    en.wikipedia.org/wiki/Temporal_paradox

    A bootstrap paradox, also known as an information loop, an information paradox, [6] an ontological paradox, [7] or a "predestination paradox" is a paradox of time travel that occurs when any event, such as an action, information, an object, or a person, ultimately causes itself, as a consequence of either retrocausality or time travel.

  4. Multimodal distribution - Wikipedia

    en.wikipedia.org/wiki/Multimodal_distribution

    A bivariate, multimodal distribution. Figure 4. A non-example: a unimodal distribution, that would become multimodal if conditioned on either x or y. In statistics, a multimodal distribution is a probability distribution with more than one mode (i.e., more than one local peak of the distribution).

  5. Bootstrap (front-end framework) - Wikipedia

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

    Bootstrap (formerly Twitter Bootstrap) is a free and open-source CSS framework directed at responsive, mobile-first front-end web development. It contains HTML, CSS and (optionally) JavaScript -based design templates for typography, forms, buttons, navigation, and other interface components. As of May 2023, Bootstrap is the 17th most starred ...

  6. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

  7. Median - Wikipedia

    en.wikipedia.org/wiki/Median

    This method may be computationally expensive for large data sets. A bootstrap estimate is known to be consistent, [32] but converges very slowly (order of ). [33] Other methods have been proposed but their behavior may differ between large and small samples. [34]

  8. 6 Potential Benefits of Blackstrap Molasses - Healthline

    www.healthline.com/nutrition/benefits-blackstrap...

    Because blackstrap molasses provides 10% of the DV for this mineral in a single tablespoon (15 mL), its intake may promote bone health (3, 5, 15). Summary. Blackstrap molasses is a good source of ...

  9. Bootstrapping (law) - Wikipedia

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

    Bootstrapping (law) The bootstrapping rule in the rules of evidence dealt with admissibility as non- hearsay of statements of conspiracy in United States federal courts. The rule, in a criminal prosecution for conspiracy, was that the court, in deciding whether to allow the jury to consider a statement of conspiracy, cannot hear the statement ...