Triple

Target class: large deviations principle
Context triple: [Cramér’s theorem in large deviations, instanceOf, large deviations principle]

• A. large deviations theory chosen
  Large deviations theory is a branch of probability that studies the exponentially small probabilities of rare events and provides asymptotic estimates for how such probabilities decay.
• B. tool in large deviation theory
  A tool in large deviation theory is a mathematical method or result—such as rate functions, the Gartner–Ellis theorem, or contraction principles—used to quantify and analyze the exponentially small probabilities of rare events in stochastic systems.
• C. solution concept in stochastic control
  A solution concept in stochastic control is a rigorous mathematical framework that specifies what it means for a control policy or strategy to optimally govern a stochastic dynamical system, typically defining admissible controls, performance criteria, and the form of optimality (e.g., value functions, optimal policies, or equilibria).
• D. object in optimal stopping theory
  An object in optimal stopping theory is an abstract entity (such as a stochastic process, payoff function, or stopping rule) whose evolution or evaluation over time determines when it is best to stop observing and take an action to maximize expected reward or minimize expected cost.
• E. probability treatise
  A probability treatise is a comprehensive, formal work that systematically develops the theory, principles, and applications of probability.
• F. None of above.