Using the Markov chain to predict the outcome of an election in a given situation

Abstract

This paper used Markov Chain, a mathematical model that is often utilized in predicting, to forecast the result of the election process of a person in a specific circumstance. In the way of modeling, starting from the tree diagram to the model of Markov Chain and related transition matrix, this paper aimed at the election result, which relates the object of study, a specific candidate. The research data are collected from the prompt of the research question and the calculation of coding based on the transition matrix. The result is, when it is the 64th year of that specific candidate running for the reelection campaign, he will be likely to retire from politics.

Application of Game Theory and Markov Chains on English Premier League (EPL) Scorelines Analysis

“…𝑥 (4) = 𝑥 (3) 𝑃 = (0.144 0.499 0.358) ( 0.000 0.500 0.500 0.290 0.420 0.290 0.000 0.600 0.400 ) = (0.145 0.496 0.360)…”

“…Game theory is an important tool used in decision making among rational decision-makers [1][2][3] analyzed the scoreline of the EPL using Game theory and Markov Chains [4] carried out a prediction analysis on the outcome of an election in a given situation using the application of Markov chain [5] studied the performance of Markov chain model in predicting time series data [6] presented a machine learning algorithm for modelling route prediction using the application of Markov chains. [7] presented an approach in optimizing tactics and strategies in football and a novel model for making both prematch and in-match decisions, using the game theory approach [8] analyzed the different methods and techniques used in solving game problems [9] analyzed the Transmission Cost in Slotted ALOHA and ZigZag Decoding using the application of Game theory and Markov chains.…”