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.
〔统计〕马尔可夫模型，马尔可夫链（描述可能发生事件序列的随机模型，每一个事件发生的概率取决于前一次事件的状况）
Example sentencesExamples
- This model represents a Markov chain in which each state is interpreted as the probability that the switch complex is in the corresponding state.
- Ecologists have used simple diffusion, correlated random walk, and Markov chain models to describe dispersal data for various insects.
- Like the previously discussed models, Markov models have serious limitations.
- He also took up new topics, writing several papers on probability theory, in particular on Markov chains.
- He applied a technique involving so-called Markov chains to calculate the required probabilities over the course of a long game with many battles.