"Continuous Markov Processes and Stochastic Equations"

Target entity: "Continuous Markov Processes and Stochastic Equations"
Context triple: [Gisiro Maruyama, notableWork, "Continuous Markov Processes and Stochastic Equations"]

• A. Processus stochastiques et mouvement brownien
  Processus stochastiques et mouvement brownien is a foundational mathematical work by Paul Lévy that develops the theory of stochastic processes and Brownian motion.
• B. Introduction to Stochastic Control Theory
  Introduction to Stochastic Control Theory is a foundational textbook that systematically develops the theory and methods for controlling dynamical systems under uncertainty using probabilistic and stochastic-process tools.
• C. Random Walk and the Theory of Brownian Motion
  "Random Walk and the Theory of Brownian Motion" is a mathematical work by Mark Kac that rigorously develops the connection between discrete random walks and continuous Brownian motion within probability theory.
• D. Modern Probability Theory and Its Applications
  "Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
• E. Freidlin–Wentzell theory
  Freidlin–Wentzell theory is a mathematical framework in probability that analyzes the behavior of stochastic dynamical systems under small random perturbations using large deviation principles.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Target entity: "Continuous Markov Processes and Stochastic Equations"
Target entity description: "Continuous Markov Processes and Stochastic Equations" is a foundational mathematical work that rigorously develops the theory of continuous-time Markov processes and their representation via stochastic differential equations.

• A. Processus stochastiques et mouvement brownien
  Processus stochastiques et mouvement brownien is a foundational mathematical work by Paul Lévy that develops the theory of stochastic processes and Brownian motion.
• B. Introduction to Stochastic Control Theory
  Introduction to Stochastic Control Theory is a foundational textbook that systematically develops the theory and methods for controlling dynamical systems under uncertainty using probabilistic and stochastic-process tools.
• C. Random Walk and the Theory of Brownian Motion
  "Random Walk and the Theory of Brownian Motion" is a mathematical work by Mark Kac that rigorously develops the connection between discrete random walks and continuous Brownian motion within probability theory.
• D. Modern Probability Theory and Its Applications
  "Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
• E. Freidlin–Wentzell theory
  Freidlin–Wentzell theory is a mathematical framework in probability that analyzes the behavior of stochastic dynamical systems under small random perturbations using large deviation principles.
• F. None of above. chosen