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ZENODO
Software . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
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MCMCMC Implementation for Hamming Score

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 24 May 2022Publisher:Zenodo
Authors: Loginov, Andrei;

doi: 10.5281/zenodo.6578572 , 10.5281/zenodo.6578573

MCMCMC Implementation for Hamming Score

Abstract

Код к следующей работе: Санкт-Петербургский государственный университет Логинов Андрей Сергеевич Метод Монте-Карло на Марковских цепях в задачах оценивания малых вероятностей Выпускная квалификационная работа Уровень образования: бакалавриат Направление 01.03.02 «Прикладная математика и информатика» Основная образовательная программа СВ.5004.2018 «Прикладная математика и информатика» Профессиональная траектория «Вычислительная стохастика и статистические модели» Научный руководитель: к.ф.-м.н., доцент А.И. Коробейников 2022 год

Keywords

Markov Chain Monte Carlo

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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