Lecture Notes in Education Psychology and Public Media

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Lecture Notes in Education Psychology and Public Media

Vol. 35, 03 January 2024


Open Access | Article

Voting Procedure of President Election

Weichen Kang * 1
1 York University

* Author to whom correspondence should be addressed.

Lecture Notes in Education Psychology and Public Media, Vol. 35, 131-135
Published 03 January 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Weichen Kang. Voting Procedure of President Election. LNEP (2024) Vol. 35: 131-135. DOI: 10.54254/2753-7048/35/20232078.

Abstract

The purpose of this study is to provide insight into the probability of success or failure of a political candidate by the name of A.P. in future elections, specifically in the area of political campaigns. Understanding these probabilities can have a significant impact on electoral processes and political decision-making, which is a crucial area of social and political importance. The focus of the study is on a future political candidate. The purpose of the study is to present objective data on A.P.'s performance in the upcoming elections, with the main goal of determining his likelihood of triumph or failure in future elections, and whether he will withdraw from the political arena after a potential loss. The understanding of political candidates' careers and their impact on election outcomes is crucial. Identifying appropriate tools and methods to accurately predict electoral uncertainty is the main research question.

Keywords

Political candidate, Markov chain model, Political analysis, Career trajectories

References

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3. Gilks, W. R., S. Richardson, and D. J. Spiegelhalter. Markov chain Monte Carlo in practice. Boca Raton: Chapman & Hall/CRC, 1998.

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5. Martin, Andrew D., and Kevin M. Quinn. “Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999.” Political Analysis 10, no. 2 (2002): 134–53. https://doi.org/10.1093/pan/10.2.134.

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Interdisciplinary Humanities and Communication Studies
ISBN (Print)
978-1-83558-249-7
ISBN (Online)
978-1-83558-250-3
Published Date
03 January 2024
Series
Lecture Notes in Education Psychology and Public Media
ISSN (Print)
2753-7048
ISSN (Online)
2753-7056
DOI
10.54254/2753-7048/35/20232078
Copyright
03 January 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated