We extend Hoggar's theorem that the sum of two independent discrete-valued log-concave random variables is itself log-concave. We introduce conditions under which the result still holds for dependent variables. We argue that these conditions are natural by giving some applications. Firstly, we use our main theorem to give simple proofs of the log-concavity of the Stirling numbers of the second kind and of the Eulerian numbers. Secondly, we prove results concerning the log-concavity of the sum of independent (not necessarily log-concave) random variables
International audienceThe goal of this paper is to push forward the study of those properties of log...
AbstractThe Stirling numbers of the first kind, SNk, and of the second kind, δNk, are shown to be st...
AbstractThe main result of the paper establishes the strong log-concavity of certain sequences arisi...
We extend Hoggar's theorem that the sum of two independent discrete-valued log-concave random variab...
Abstract: We review and formulate results concerning log-concavity and strong-log-concavity in both ...
Interesting properties and propositions, in many branches of science such as economics have been ob...
AbstractGiven a triangular array of non-negative integers we give a necessary condition to insure th...
In many applications, assumptions about the log-concavity of a probability distribution allow just e...
In many applications,assumptions about the log-concavity of a probability distribution allow just en...
AbstractThe Stirling numbers of the first kind, SNk, and of the second kind, δNk, are shown to be st...
For a sequence of n independent events, it is shown that the sequences of the probability of occurre...
In this paper, we construct upper and lower convex order bounds for the distribution of a sum of non...
We utilize and extend a simple and classical mechanism, combining log-concavity and majorization in ...
We show that the sequence of moments of order less than 1 of averages of i.i.d. positive random vari...
We establish new tail estimates for order statistics and for the Euclidean norms of projections of a...
International audienceThe goal of this paper is to push forward the study of those properties of log...
AbstractThe Stirling numbers of the first kind, SNk, and of the second kind, δNk, are shown to be st...
AbstractThe main result of the paper establishes the strong log-concavity of certain sequences arisi...
We extend Hoggar's theorem that the sum of two independent discrete-valued log-concave random variab...
Abstract: We review and formulate results concerning log-concavity and strong-log-concavity in both ...
Interesting properties and propositions, in many branches of science such as economics have been ob...
AbstractGiven a triangular array of non-negative integers we give a necessary condition to insure th...
In many applications, assumptions about the log-concavity of a probability distribution allow just e...
In many applications,assumptions about the log-concavity of a probability distribution allow just en...
AbstractThe Stirling numbers of the first kind, SNk, and of the second kind, δNk, are shown to be st...
For a sequence of n independent events, it is shown that the sequences of the probability of occurre...
In this paper, we construct upper and lower convex order bounds for the distribution of a sum of non...
We utilize and extend a simple and classical mechanism, combining log-concavity and majorization in ...
We show that the sequence of moments of order less than 1 of averages of i.i.d. positive random vari...
We establish new tail estimates for order statistics and for the Euclidean norms of projections of a...
International audienceThe goal of this paper is to push forward the study of those properties of log...
AbstractThe Stirling numbers of the first kind, SNk, and of the second kind, δNk, are shown to be st...
AbstractThe main result of the paper establishes the strong log-concavity of certain sequences arisi...