markov chain การใช้

• Markov chains form a common context for applications in probability theory.
• Alice believes that the weather operates as a discrete Markov chain.
• Optimization and Markov chains are employed to design a driving cycle.
• Assume that I have a file that describes a Markov chain.
• BAli-Phy uses Markov chain Monte Carlo methods for estimation.
• The definition of Markov chains has evolved during the 20th century.
• However, many applications of Markov chains employ finite or Variations ).
• A Markov chain is aperiodic if every state is aperiodic.
• Related concepts include job shops and queuing systems ( Markov chains ).
• This is the standard interpretation of a Markov chain, for example.
• Queue theory is based on Markov chains and stochastic processes.
• I was studying rates of convergence of finite state space Markov chains.
• :: A Markov chain does seem to be an adequate description.
• The Markov chain also can be applied in pattern recognition.
• However, it does not require a Markov chain structure.
• Taken together, the two then define a Markov chain ( MC ).
• Numerous queueing models use continuous-time Markov chains.
• The most famous Markov process is a Markov chain.
• Poisson processes are switched between by an underlying continuous-time Markov chain.
• The Markov chain generated has a distribution given by: