Markov chains
[MAR-kov chānz]
nounpl: Markov chains
cadeias de Markov
1. A stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event, following the Markov property
Markov chains are widely used in computational biology to model DNA sequences.
Cadeias de Markov são amplamente utilizadas em biologia computacional para modelar sequências de DNA.
2. A mathematical system that transitions from one state to another according to certain probabilistic rules, where future states are independent of past states given the present state
Weather prediction can be modeled using Markov chains with states representing different weather conditions.
A previsão do tempo pode ser modelada usando cadeias de Markov com estados representando diferentes condições climáticas.
Markov chains are fundamental concepts in mathematics, computer science, and statistics taught in universities worldwide. Named after Russian mathematician Andrey Markov, they are extensively used in Brazil and Portugal in academic research, particularly in engineering, finance, and data science. The terminology is standardized across all Portuguese-speaking regions and the English-speaking world.
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