Characterization of multivariate distributions through a functional equation of their characteristic functions
DOI10.1016/S0378-3758(97)00010-4zbMath1007.62514OpenAlexW2089942796MaRDI QIDQ1372402
Arjun K. Gupta, Wei-Bin Zeng, Truc T. Nguyen
Publication date: 27 March 2003
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(97)00010-4
characteristic functionsintegrated Cauchy functional equationstable distributionsinfinite divisibilityregressionlinear statisticssemi-stable
Infinitely divisible distributions; stable distributions (60E07) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Characteristic functions; other transforms (60E10)
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Cites Work
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- Probability laws with 1-stable marginals are 1-stable
- On a conditional Cauchy functional equation of several variables and a characterization of multivariate stable distributions
- On identically distributed linear statistics
- Characteristic functions satisfying a functional equation. I
- Non-stable laws with all projections stable
- Some Observations on the Integrated Cauchy Functional Equation
- Semi-stable probability measures on $R^{N}$
- A GENERALIZATION OF A THEOREM OF DENY WITH APPLICATIONS IN CHARACTERIZATION THEORY
- On the Extension of the Class of Stable Distributions
- The convolution equation of Choquet and Deny on semigroups
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