Triple

Target entity: Markov processes
Context triple: [Probability theory, hasSubfield, Markov processes]

• A. Markov processes chosen
  Markov processes are stochastic processes in which the future evolution depends only on the present state and not on the past history.
• B. Stochastic Processes
  "Stochastic Processes" is a foundational textbook by Emanuel Parzen that rigorously introduces the theory and applications of random processes in probability and statistics.
• C. Markov semigroup
  A Markov semigroup is a family of linear operators describing the time evolution of probability distributions in a Markov process, forming a semigroup under composition and preserving positivity and total mass.
• D. Itô processes
  Itô processes are a class of stochastic processes, typically modeled as solutions to stochastic differential equations, that form the fundamental objects of study in Itô calculus and modern stochastic analysis.
• E. Chapman–Kolmogorov equation
  The Chapman–Kolmogorov equation is a fundamental relation in the theory of stochastic processes that expresses how transition probabilities of a Markov process over longer time intervals can be obtained by integrating over intermediate states.
• F. None of above.
• G. Unsure - the case is ambiguous/there is not enough information to decide.