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Concept
Markov Models
Markov Models
are
mathematical frameworks
used to model
systems that transition from one state to another
, where the
probability of each future state
depends only on the
current state
and not on the
sequence of events
that preceded it. They are widely used in various fields such as economics, genetics, and
computer science
for
modeling random processes
and
decision-making under uncertainty
.
Relevant Fields:
Probability and Statistics 70%
Computational Mathematics 20%
Computer Science and Data Processing 10%
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