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Large deviations for a class of nonhomogeneous Markov chains
Zach Dietz,
Sunder Sethuraman
Mathematics
Applied Mathematics - GIDP
Statistics-GIDP
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
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Mathematics
Large Deviations
73%
Markov chain
60%
Transition Matrix
54%
State Space
41%
Decay
40%
Additive Functionals
29%
Stochastic Algorithms
29%
Stochastic Optimization
28%
Anomalous
28%
Large Deviation Principle
28%
Optimization Algorithm
26%
Movement
24%
Decay Rate
24%
Regularity Conditions
23%
Irregular
23%
Class
21%
Physics
20%
Trivial
19%
Optimization
18%
Chain
18%
Converge
15%
Range of data
15%
Business & Economics
Large Deviations
100%
Decay
81%
Markov Chain
80%
Transition Matrix
66%
State Space
54%
Stochastic Optimization
31%
Physics
27%
Regularity
24%