Abstract
Markov chain is a stochastic model that is used to predict future events. Markov chain is relatively simple since it only requires the information of the present state to predict the future states. In this paper we will go over the basic concepts of Markov Chain and several of its applications including Google PageRank algorithm, weather prediction and gamblers ruin.
We examine on how the Google PageRank algorithm works efficiently to provide PageRank for a Google search result. We also show how can we use Markov chain to predict weather by creating a model from real life data.
Date of publication
Spring 4-28-2021
Document Type
Thesis
Language
english
Persistent identifier
http://hdl.handle.net/10950/3704
Committee members
Dr. Kassie Archer, Dr. Scott LaLonde, Dr. Christy Graves
Degree
Master of Science in Mathematics
Recommended Citation
Mahfuz, Fariha, "MARKOV CHAINS AND THEIR APPLICATIONS" (2021). Math Theses. Paper 10.
http://hdl.handle.net/10950/3704
Included in
Other Mathematics Commons, Probability Commons, Statistical Methodology Commons, Statistical Models Commons