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Infinitely Divisible Processes
2016Infinitely divisible stochastic processes form a broad family whose structure is reasonably well understood. A stochastic process \({\bigl (X(t),\,t \in T\bigr )}\) is said to be infinitely divisible if for every n = 1, 2, …, there is a stochastic process \(\bigl( Y(t),\, t\in T\bigr)\) such ...
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Infinitely Divisible Processes
Theory of Probability & Its Applications, 1970openaire +2 more sources
On Infinitely Divisible Distributions
Theory of Probability & Its Applications, 1975openaire +2 more sources
Infinitely Divisible Distributions
1975A distribution function F (x) and the corresponding c.f. f (t) are said to be infinitely divisible if for every positive integer n there exists a c.f. f n (t) such that $$f\left( t \right) = {\left( {{f_n}\left( t \right)} \right)^n}$$ (1.1)
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Infinite Divisibility of GCD Matrices
The American Mathematical Monthly, 2008Rajendra Bhatia, J. A. Dias da Silva
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A Note on Infinitely Divisible Distributions
Theory of Probability & Its Applications, 1970openaire +2 more sources
Min-infinite divisibility of the bivariate Marshall–Olkin copulas
Communications in Statistics - Theory and Methods, 2022exaly