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Conditional Markov chains – construction and properties

Volume 105 / 2015

Tomasz R. Bielecki, Jacek Jakubowski, Mariusz Niewęgłowski Banach Center Publications 105 (2015), 33-42 MSC: Primary 60J27; Secondary 60G55, 60G44, 60J75. DOI: 10.4064/bc105-0-2


In this paper we study finite state conditional Markov chains (CMCs). We give two examples of CMCs, one which admits intensity, and another one, which does not admit an intensity. We also give a sufficient condition under which a doubly stochastic Markov chain is a CMC. In addition we provide a method for construction of conditional Markov chains via change of measure.


  • Tomasz R. BieleckiDepartment of Applied Mathematics
    Illinois Institute of Technology
    Chicago, IL 60616, USA
  • Jacek JakubowskiInstitute of Mathematics
    University of Warsaw
    ul. Banacha 2
    02-097 Warszawa, Poland
    Faculty of Mathematics and Information Science
    Warsaw University of Technology
    Warszawa, Poland
  • Mariusz NiewęgłowskiFaculty of Mathematics and Information Science
    Warsaw University of Technology
    ul. Koszykowa 75
    00-662 Warszawa, Poland

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