activity
20142024
most citedOutliers, the Law of Large Numbers, Index of Stability and Heavy Tails

2 citations · 3 across the 6 of their papers we have counts for

collaborators

8 papers

math.PR2024

On an arithmetical property of moments and cumulants

Ashot V. Kakosyan, Lev B. Klebanov

The main result of the paper is the following. Let a non-degenerate distribution have finite moments of all orders . Then the sequence $\{μ_k/k!, \; k=0,1,2,\…

math.PR2019★ 1 cited

Inequalities for m-Divisible Distributions and Testing of Infinite Divisibility

Lev B. Klebanov, Ashot V. Kakosyan, Irina V. Volchenkova

We state some inequalities for m-divisible and infinite divisible characteristic functions. Basing on them we propose a statistical test for a distribution to be infinitely divisib…

math.PR2017

Outliers and related problems

Lev B. Klebanov, Jaromir Antoch, Andrea Karlova +1

We define outliers as a set of observations which contradicts the proposed mathematical (statistical) model and we discuss the frequently observed types of the outliers. Further we…

math.PR2016★ 2 cited

Outliers, the Law of Large Numbers, Index of Stability and Heavy Tails

Lev B. Klebanov, Ashot V. Kakosyan, Andrea Karlova

We are trying to give a mathematically correct definition of outliers. Our approach is based on the distance between two last order statistics and appears to be connected to the la…

stat.AP2016

Some Contra-Arguments for the Use of Stable Distributions in Financial Modeling

Lev B. Klebanov, Greg Temnov, Ashot V. Kakosyan

In the present paper, we discuss contra-arguments concerning the use of Pareto-Levý distributions for modeling in Finance. It appears that such probability laws do not provide suff…

math.PR2015

On a characterization of infinitely divisible distributions with Gaussian component

Lev B. Klebanov, Irina V. Volchenkova, Ashot V. Kakosyan

We give a necessary and sufficient condition for symmetric infinitely divisible distribution to have Gaussian component. The result can be applied to approximation the distribution…

math.PR2015

An autoregressive model leading to stable distributions

Lev B. Klebanov, Gregory Temnov, Ashot Kakosyan

We construct an autoregressive model with random coefficients that has a stationary distribution after proper normalization. This limit distribution is found to be stable.

math.PR2014

Casual Stability of Some Systems of Random Variables

Lev B. Klebanov, Lenka Slámová, Ashot Kakosyan +1

Self-similarity of systems is very popular and intensively developing field during last decades. To this field belong so-called stable distributions and their generalization. In Kl…