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  1. Copula (statistics) - Wikipedia

    In probability theory and statistics, a copula is a multivariate cumulative distribution function for which the marginal probability distribution of each variable is uniform on the interval [0, 1]. Copulas are used to …

  2. Copulas: Modeling Dependence Beyond Linear Correlation

    Nov 12, 2024 · In this article, we will look at what copulas are and how they work. We will also see why they are important and how they help represent complex relationships beyond simple correlation. …

  3. Copula-based measures of multivariate association. In P. Jaworski, F. Durante, W. K. Härdle, and T. Rychlik (Eds.), Copula Theory and Its Applications, Lecture Notes in Statistics, pp. 209–236.

  4. An introduction to copulas — Copulae 0.7.7 documentation

    A copula is a multivariate cumulative distribution function for which the marginal probability distribution of each variable is uniform on the interval [0, 1]. Copulas are used to describe the dependence between …

  5. Copula Distributions - Statistics How To

    Copulas and Copula distributions are used in many areas of statistics and finance. For example, copulas play a key role in pricing securities.

  6. COPULA Definition & Meaning - Merriam-Webster

    The meaning of COPULA is something that connects.

  7. Copula: A Very Short Introduction

    May 8, 2019 · The name “copula” comes from the Latin for “link”; it links the marginals to the joint distribution. We first consider a few simple copulas. Example 1 (Independence copula). Let \ (X_1\) …