activity
20142026
most citedA statistical test for correspondence of texts to the Zipf-Mandelbrot law

1 citations · 1 across the 9 of their papers we have counts for

collaborators

11 papers

math.PR2026

Limit theorems for a class of random outer measures in infinite urn schemes

Berhane Abebe, Mikhail Chebunin, Artyom Kovalevskii

An urn scheme is a probabilistic model in which balls are placed into urns sequentially and independently of each other. All balls share the same probability distribution for hitti…

math.PR2022

Asymptotics of joint orderings of compound Poisson fields

Mikhail Chebunin, Artyom Kovalevskii

We are developing a new method for the analysis of queuing systems with heterogeneous in time and space compound (marked) Poisson input flow. The state space of the input flow is e…

math.PR2022

Limit theorems for forward and backward processes of numbers of non-empty urns in infinite urn schemes

Mikhail Chebunin, Artyom Kovalevskii

We study the joint asymptotics of forward and backward processes of numbers of non-empty urns in an infinite urn scheme. The probabilities of balls hitting the urns are assumed to…

math.ST2020

Asymptotics of sums of regression residuals under multiple ordering of regressors

Mikhail Chebunin, Artyom Kovalevskii

We prove theorems about the Gaussian asymptotics of an empirical bridge built from linear model regressors with multiple regressor ordering. We study the testing of the hypothesis…

math.ST2020

Modifications of Simon text model

Mikhail Chebunin, Artyom Kovalevskii

We discuss probability text models and their modifications. We construct processes of different and unique words in a text. The models are to correspond to the real text statistics…

math.ST2019★ 1 cited

A statistical test for correspondence of texts to the Zipf-Mandelbrot law

Anik Chakrabarty, Mikhail Chebunin, Artyom Kovalevskii +3

We analyse correspondence of a text to a simple probabilistic model. The model assumes that the words are selected independently from an infinite dictionary. The probability distri…