- semi-Markov analysis
- Контроль качества: полумарковский анализ
Универсальный англо-русский словарь. Академик.ру. 2011.
semi-Markov analysis
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Semi-Markov process — A continuous time stochastic process is called a semi Markov process or Markov renewal process if the embedded jump chain (the discrete process registering what values the process takes) is a Markov chain, and where the holding times (time… … Wikipedia
Markov chain — A simple two state Markov chain. A Markov chain, named for Andrey Markov, is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a random process characterized … Wikipedia
Markov process — In probability theory and statistics, a Markov process, named after the Russian mathematician Andrey Markov, is a time varying random phenomenon for which a specific property (the Markov property) holds. In a common description, a stochastic… … Wikipedia
Hidden Markov model — Probabilistic parameters of a hidden Markov model (example) x mdash; states y mdash; possible observations a mdash; state transition probabilities b mdash; output probabilitiesA hidden Markov model (HMM) is a statistical model in which the system … Wikipedia
Variable-order Markov model — Variable order Markov (VOM) models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models, where each random variable in a sequence with a Markov property depends on a fixed number… … Wikipedia
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Software tools for molecular microscopy — There are a large number of software tools or software applications that have been specifically developed for the field sometimes referred to as molecular microscopy or cryo electron microscopy or cryoEM. Several special issues of the Journal of… … Wikipedia
Lajos Takács — (born August 21, 1924 in Maglód) was a Hungarian mathematician, known for his contributions to probability theory and in particular, queueing theory. He wrote over two hundred scientific papers and two books.He studied at the Technical University … Wikipedia
Variable-order Bayesian network — (VOBN) models provide an important extension of both the Bayesian network models and the variable order Markov models. VOBN models are used in machine learning in general and have shown great potential in bioinformatics applications.cite… … Wikipedia
