Stochastic sequences with a regenerative structure that may depend both on the future and on the past Full article

Journal	Advances in Applied Probability ISSN: 0001-8678 , E-ISSN: 1475-6064
Output data	Year: 2013, Volume: 45, Number: 4, Pages: 1083 - 1110 Pages count : 28 DOI: 10.1239/aap/1386857859
Authors	Foss S 1 , Zachary S 1
Affiliations	1 School of Mathematics and Computer Sciences and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh EH14 4AS