Markov Chains
Markov Chains is a stochastic process characterized by the Markov property, in which the future state depends only on the present state and is conditionally independent of the past given the present.
24.6K
Publications
1.7M
Citations
28.1K
Authors
4.9K
Institutions
Publications per year
2017–2026
2.6K
24.6K
Monte Carlo sampling methods using Markov chains and their applications
W. Keith Hastings · Biometrika · 1970 · 15.2K citations
NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
P. A. P. Moran · Biometrika · 1950 · 7.1K citations
1–5 of 24.6K
28.1K
42
h-index
39
h-index
34
h-index
33
h-index
32
h-index
1–5 of 28.1K
4.9K

Centre National de la Recherche Scientifique
Paris, France
84 h-index
1.2K publications
51.6K citations
University of California, Berkeley
Berkeley, United States
81 h-index
455 publications
42.9K citations
Stanford University
Stanford, United States
70 h-index
419 publications
33K citations

University of Toronto
Toronto, Canada
58 h-index
241 publications
42.8K citations
University of Cambridge
Cambridge, United Kingdom
58 h-index
255 publications
23.3K citations

Cornell University
Ithaca, United States
57 h-index
273 publications
23.7K citations
Massachusetts Institute of Technology
Cambridge, United States
57 h-index
263 publications
32.7K citations
Princeton University
Princeton, United States
56 h-index
191 publications
16K citations
1–8 of 4.9K
235 publications · 55.1K citations
86
h-index
419 publications · 30.2K citations
86
h-index
533 publications · 36.4K citations
80
h-index
127 publications · 44K citations
72
h-index
360 publications · 18.2K citations
72
h-index
1–5