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  2. Johnson's SU-distribution - Wikipedia

    en.wikipedia.org/wiki/Johnson's_SU-distribution

    Johnson's -distribution has been used successfully to model asset returns for portfolio management. [3] This comes as a superior alternative to using the Normal distribution to model asset returns. An R package, JSUparameters , was developed in 2021 to aid in the estimation of the parameters of the best-fitting Johnson's S U {\displaystyle S_{U ...

  3. Johnson's algorithm - Wikipedia

    en.wikipedia.org/wiki/Johnson's_algorithm

    The first three stages of Johnson's algorithm are depicted in the illustration below. The graph on the left of the illustration has two negative edges, but no negative cycles. The center graph shows the new vertex q, a shortest path tree as computed by the Bellman–Ford algorithm with q as starting vertex, and the values h(v) computed at each other node as the length of the shortest path from ...

  4. Data transformation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    The reciprocal transformation, some power transformations such as the Yeo–Johnson transformation, and certain other transformations such as applying the inverse hyperbolic sine, can be meaningfully applied to data that include both positive and negative values [10] (the power transformation is invertible over all real numbers if λ is an odd ...

  5. Power transform - Wikipedia

    en.wikipedia.org/wiki/Power_transform

    In statistics, a power transform is a family of functions applied to create a monotonic transformation of data using power functions.It is a data transformation technique used to stabilize variance, make the data more normal distribution-like, improve the validity of measures of association (such as the Pearson correlation between variables), and for other data stabilization procedures.

  6. Johnson–Lindenstrauss lemma - Wikipedia

    en.wikipedia.org/wiki/Johnson–Lindenstrauss_lemma

    The first, Fast Johnson Lindenstrauss Transform (FJLT), [7] was introduced by Ailon and Chazelle in 2006. This method allows the computation of the matrix vector product in just d log ⁡ d + k 2 + γ {\displaystyle d\log d+k^{2+\gamma }} for any constant γ > 0 {\displaystyle \gamma >0} .

  7. Explainer-How Trump could bypass the Senate to install his ...

    www.aol.com/news/explainer-trump-could-bypass...

    By Andy Sullivan. WASHINGTON - President-elect Donald Trump has said he might install his picks for top administration posts without first winning approval in the U.S. Senate.

  8. Queen Camilla, Still Recovering from Pneumonia, Refuses to ...

    www.aol.com/queen-camilla-still-recovering...

    Once again, Queen Camilla has shown her commitment to literacy and literature. The Queen, 77, joined Brigitte Macron at the Entente Littéraire Prize ceremony on Wednesday, Dec. 4, the day after ...

  9. Jelani Nelson - Wikipedia

    en.wikipedia.org/wiki/Jelani_Nelson

    He is known for his contributions to streaming algorithms and dimensionality reduction, including proving that the Johnson–Lindenstrauss lemma is optimal (with Kasper Green Larsen), [10] developing the Sparse Johnson-Lindenstrauss Transform (with Daniel Kane), [11] and an asymptotically optimal algorithm for the count-distinct problem (with ...

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