[HTML][HTML] Excess mortality reveals Covid's true toll in Russia
D Kobak - Significance (Oxford, England), 2021 - ncbi.nlm.nih.gov
Excess Mortality Reveals Covid's True Toll in Russia - PMC Back to Top Skip to main content
NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main …
NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main …
To Russia with love? The impact of sanctions on regime support
Do economic sanctions affect internal support of sanctioned countries' governments? To
answer this question, we focus on the sanctions imposed on Russia in 2014 and identify …
answer this question, we focus on the sanctions imposed on Russia in 2014 and identify …
Election forensics: Using machine learning and synthetic data for possible election anomaly detection
M Zhang, RM Alvarez, I Levin - PloS one, 2019 - journals.plos.org
Assuring election integrity is essential for the legitimacy of elected representative democratic
government. Until recently, other than in-person election observation, there have been few …
government. Until recently, other than in-person election observation, there have been few …
[PDF][PDF] Suspect peaks in Russia's “referendum” results
Suspect peaks in Russia's “referendum” results Page 1 University of Groningen Suspect peaks
in Russia's “referendum” results Kobak, Dm; Shpilkin, S.; Pshenitchnikov, Maxim Published in …
in Russia's “referendum” results Kobak, Dm; Shpilkin, S.; Pshenitchnikov, Maxim Published in …
Election forensics: Quantitative methods for electoral fraud detection
The last decade has witnessed an explosion on the computational power and a parallel
increase of the access to large sets of data–the so called Big Data paradigm–which is …
increase of the access to large sets of data–the so called Big Data paradigm–which is …
Bipartisanship breakdown, functional networks, and forensic analysis in Spanish 2015 and 2016 national elections
We present a social network and forensic analysis of the vote counts of Spanish national
elections that took place in December 2015 and their sequel in June 2016. We initially …
elections that took place in December 2015 and their sequel in June 2016. We initially …
A new approach to Statistical analysis of election results
IH Krykun - arxiv preprint arxiv:2209.08659, 2022 - arxiv.org
In this paper, a new method of detection of election fraud is proposed. This method is based
on the calculation of the ratio of two standard normal random variables; estimation of …
on the calculation of the ratio of two standard normal random variables; estimation of …
Putin's peaks: Russian election data revisited
Abstract Two years ago, Dmitry Kobak, Sergey Shpilkin and Maxim S. Pshenichnikov
uncovered anomalies in Russia's election data. Following President Vladimir Putin's re …
uncovered anomalies in Russia's election data. Following President Vladimir Putin's re …
Wasserstein t-SNE
Scientific datasets often have hierarchical structure: for example, in surveys, individual
participants (samples) might be grouped at a higher level (units) such as their geographical …
participants (samples) might be grouped at a higher level (units) such as their geographical …
Пространственное моделирование электоральных предпочтений в Российской Федерации
ЕА Подколзина, ОА Демидова… - Пространственная …, 2020 - cyberleninka.ru
Основной задачей данной работы является оценка влияния индивидов, проживающих
в соседних территориальных областях, друг на друга в принятии решений на примере …
в соседних территориальных областях, друг на друга в принятии решений на примере …