@inbook{daa5322f0867476694a6640de44f5778,
title = "Markovianity in space and time",
abstract = "Markov chains in time, such as simple random walks, are at the heart of probability. In space, due to the absence of an obvious definition of past and future, a range of definitions of Markovianity have been proposed. In this paper, after a brief review, we introduce a new concept of Markovianity that aims to combine spatial and temporal conditional independence.",
author = "{Lieshout, van}, M.N.M.",
year = "2006",
doi = "10.1214/074921706000000185",
language = "English",
isbn = "0-940600-64-1",
series = "Institute of Mathematical Statistics Lecture Notes - Monograph Series",
publisher = "Institute for Mathematical Statistics",
pages = "154--168",
editor = "D. Denteneer and {Hollander, den}, F. and E. Verbitskiy",
booktitle = "Dynamics & stochastics : Festschrift in honor of M.S. Keane",
}