Absorbing Markov Chains
Absorbing Markov Chains is a type of Markov chain characterized by the presence of at least one absorbing state, from which the probability of transitioning to any other state is zero, and in which every transient state has a nonzero probability of eventually reaching an absorbing state.
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An Introduction to Stochastic Modeling
Michael Frey, Howard M. Taylor, Samuel Karlin · Technometrics · 1994 · 1.3K citations
Discovering popular routes from trajectories
Zaiben Chen, Heng Tao Shen, Xiaofang Zhou · 2011 · 360 citations
Strong Stationary Times Via a New Form of Duality
Persi Diaconis, James Allen Fill · The Annals of Probability · 1990 · 276 citations · Full text
Engineering, Mathematics, Physics +17
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185

Australian National University
Canberra, Australia
6 h-index
6 publications
754 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
7 publications
984 citations

The University of Queensland
Brisbane, Australia
5 h-index
7 publications
1.2K citations

Cornell University
Ithaca, United States
4 h-index
14 publications
319 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
130 citations

Monash University
Melbourne, Australia
4 h-index
4 publications
106 citations
Carnegie Mellon University
Pittsburgh, United States
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3 publications
84 citations
University of Florida
Gainesville, United States
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18 publications
913 citations
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JAP · 15 publications · 1.3K citations
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AAP · 6 publications · 150 citations
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