International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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A Long-term Prediction of Covid-19 by Building a Transition Probability Matrix

Author(s) Biplob Saikia
Country India
Abstract The outbreak of the covid-19 pandemic caused a devastating scenario in the human lives for a long period of time. Since the outbreak of the pandemic, many researchers have published papers on the prediction of covid-19 using machine learning techniques, artificial intelligence, statistical techniques such as regression analysis, Markov chain models etc. In this paper a transition probability matrix is introduced by building a first order Markov chain. This first order Markov chain is built by generating sequences from the data. Later with the help of Chapman Kolmogorov theorem and ergodic theorem, higher order transition probabilities and limiting probabilities are obtained.
Keywords Covid-19, transition probabilities, Markov chain, ergodic theorem
Field Mathematics > Statistics
Published In Volume 5, Issue 3, May-June 2023
Published On 2023-06-29
DOI https://doi.org/10.36948/ijfmr.2023.v05i03.3850
Short DOI https://doi.org/gsd5b5

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