Simultaneous Occurrences of Runs in Independent Markov Chains

  • S. Robin
  • , Valeri Stefanov

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We observe m independent and identically distributed binary Markov chains and look for simultaneous occurrences of runs in several of them. We are interested in the distribution of the maximum number of simultaneous runs on finite time intervals. First we introduce a natural exact approach and also explain why it fails to calculate the required probabilities. Then we find exact upper and lower bounds for the probability of interest. We apply these results to detect genomic deletions in cancer patients.
    Original languageEnglish
    Pages (from-to)n/a
    JournalMethodology and Computing in Applied Probability
    Volume11
    Issue number2
    DOIs
    Publication statusPublished - 2009

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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