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20132025
most citedJoint temporal and contemporaneous aggregation of random-coefficient AR(1) processes with infinite variance

1 citations · 6 across the 12 of their papers we have counts for

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math.ST2025

The Optimality of a Nested Generalized Pairwise Group Testing Procedure

Yaakov Malinovsky, Viktor Skorniakov

We study the problem of identifying defective units in a finite population of \( n \) units, where each unit \( i \) is independently defective with known probability \( p_i \). Th…

math.ST2022★ 1 cited

On the Optimal Pairwise Group Testing Algorithm

Viktor Skorniakov, Ugnė Čižikovienė

Originally suggested for the blood testing problem by Dorfman in 1943, an idea of Group Testing (GT) has found many applications in other fields as well. Among many (binomial) GT p…

math.ST2021★ 1 cited

On the Optimal Configuration of a Square Array Group Testing Algorithm

Ugnė Čižikovienė, Viktor Skorniakov

Up to date, only lower and upper bounds for the optimal configuration of a Square Array (A2) Group Testing (GT) algorithm are known. We establish exact analytical formulae and prov…

math.ST2019★ 1 cited

Joint temporal and contemporaneous aggregation of random-coefficient AR(1) processes with infinite variance

Vytautė Pilipauskaitė, Viktor Skorniakov, Donatas Surgailis

We discuss joint temporal and contemporaneous aggregation of independent copies of random-coefficient AR(1) process driven by i.i.d. innovations in the domain of normal attract…

math.ST2017★ 1 cited

On asymptotic normality of certain linear rank statistics

Viktor Skorniakov

We consider asymptotic normality of linear rank statistics under various randomization rules met in clinical trials and designed for patients' allocation into treatment and placebo…

math.ST2013

Joint temporal and contemporaneous aggregation of random-coefficient AR(1) processes

Vytaute Pilipauskaite, Donatas Surgailis

We discuss joint temporal and contemporaneous aggregation of independent copies of AR(1) process with random-coefficient when and time scale increase at d…