| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 1152625 | Statistics & Probability Letters | 2014 | 6 Pages | 
Abstract
												Conditions for the finiteness of long run costs and rewards associated with infinite recurrent Markov chains that may be discrete or continuous in time are considered. Without resorting to results from the theory of Markov processes on general state spaces we provide instructive proofs in the course of which we derive auxiliary results that are of interest in themselves. Potential applications of the finiteness conditions are outlined in order to elucidate their high practical relevance.
											Keywords
												
											Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Statistics and Probability
												
											Authors
												Hendrik Baumann, Werner Sandmann, 
											