• Corpus ID: 27996627

Modelling Copulas : An Overview

@inproceedings{Dorey2005ModellingC,
  title={Modelling Copulas : An Overview},
  author={Martyn Dorey and Philippe Joubert},
  year={2005}
}

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References

SHOWING 1-10 OF 26 REFERENCES

Volatility and Correlation: In the Pricing of Equity, FX, and Interest-Rate Options

FOUNDATIONS. Volatility: Fundamental Concepts and Definitions. Variance and Mean Reversion in the Real and the Risk-Adjusted Worlds. Instantaneous and Terminal Correlations. DEALING WITH SMILES.

Statistical Thought: A Perspective and History

PERSPECTIVE Preface 1. Philosophical Background 2. Statistical Induction - When and How? 3. Interpretation of Probability - Various Nuances 4. Bearing of Interpretations of Probability on Statistical

Fonctions de repartition a n dimensions et leurs marges

Correlation Tests for Non‐Linear Alternatives

A new class of statistics for detecting association between two variables is proposed. The statistics improve on traditional correlation coefficients by being sensitive to U-shaped and other

A Study of Spurious Correlation

A note on bootstrapping the correlation coefficient

SUMMARY Smoothed bootstrap estimation of the sampling standard deviation of the variance-stabilized correlation coefficient is reconsidered. An approximation to the mean squared error of the

Spurious Correlation and the Fallacy of the Ratio Standard Revisited

Spurious correlation refers to the correlation between indices that have a common component. A ‘per ratio’ standard is based on a biological measurement adjusted for some physical measurement by

Francis Galton's Account of the Invention of Correlation

Francis Galton's invention of correlation dates from late in the year 1888, and it arose when he recognized a common thread in three different scientific problems he was studying. Galton's own 1890

Correlations Genuine and Spurious in Pearson and Yule

Karl Pearson and G. Udny Yule developed the main interpretations of correlation used by statisticians for the past century or so. They also examined a number of situations in which the correlation

Simulating Correlated Multivariate Pseudorandom Numbers

A modification of the Kaiser and Dichman (1962) procedure of generating multivariate random numbers with specified intercorrelation is proposed. The procedure works with positive and non-positive