Conditional Markov chains - construction and properties

Tomasz R. Bielecki; Jacek Jakubowski; Mariusz Niewęgłowski

Banach Center Publications (2015)

  • Volume: 105, Issue: 1, page 33-42
  • ISSN: 0137-6934

Abstract

top
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.

How to cite

top

Tomasz R. Bielecki, Jacek Jakubowski, and Mariusz Niewęgłowski. "Conditional Markov chains - construction and properties." Banach Center Publications 105.1 (2015): 33-42. <http://eudml.org/doc/286123>.

@article{TomaszR2015,
abstract = {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.},
author = {Tomasz R. Bielecki, Jacek Jakubowski, Mariusz Niewęgłowski},
journal = {Banach Center Publications},
keywords = {conditional Markov chains; intensity; doubly stochastic Markov chain; change of measure},
language = {eng},
number = {1},
pages = {33-42},
title = {Conditional Markov chains - construction and properties},
url = {http://eudml.org/doc/286123},
volume = {105},
year = {2015},
}

TY - JOUR
AU - Tomasz R. Bielecki
AU - Jacek Jakubowski
AU - Mariusz Niewęgłowski
TI - Conditional Markov chains - construction and properties
JO - Banach Center Publications
PY - 2015
VL - 105
IS - 1
SP - 33
EP - 42
AB - 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.
LA - eng
KW - conditional Markov chains; intensity; doubly stochastic Markov chain; change of measure
UR - http://eudml.org/doc/286123
ER -

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.