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  2. Optional stopping theorem - Wikipedia

    en.wikipedia.org/wiki/Optional_stopping_theorem

    Suppose further that the walk stops if it reaches 0 or m ≥ a; the time at which this first occurs is a stopping time. If it is known that the expected time at which the walk ends is finite (say, from Markov chain theory), the optional stopping theorem predicts that the expected stop position is equal to the initial position a.

  3. Martingale (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Martingale_(probability...

    The concept of a stopped martingale leads to a series of important theorems, including, for example, the optional stopping theorem which states that, under certain conditions, the expected value of a martingale at a stopping time is equal to its initial value.

  4. Wald's equation - Wikipedia

    en.wikipedia.org/wiki/Wald's_equation

    For convenience (see the proof below using the optional stopping theorem) and to specify the relation of the sequence (X n) n∈ and the filtration (F n) n∈ 0, the following additional assumption is often imposed:

  5. Stopping time - Wikipedia

    en.wikipedia.org/wiki/Stopping_time

    Example of a stopping time: a hitting time of Brownian motion.The process starts at 0 and is stopped as soon as it hits 1. In probability theory, in particular in the study of stochastic processes, a stopping time (also Markov time, Markov moment, optional stopping time or optional time [1]) is a specific type of “random time”: a random variable whose value is interpreted as the time at ...

  6. Optimal stopping - Wikipedia

    en.wikipedia.org/wiki/Optimal_stopping

    Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem .

  7. Semimartingale - Wikipedia

    en.wikipedia.org/wiki/Semimartingale

    The class of semimartingales is closed under optional stopping, localization, change of time and absolutely continuous change of probability measure (see Girsanov's Theorem). If X is an R m valued semimartingale and f is a twice continuously differentiable function from R m to R n, then f(X) is a semimartingale. This is a consequence of Itō's ...

  8. Doob's martingale inequality - Wikipedia

    en.wikipedia.org/wiki/Doob's_martingale_inequality

    The proof can also be phrased in the language of stochastic processes so as to become a corollary of the powerful theorem that a stopped submartingale is itself a submartingale. [2] In this setup, the minimal index i appearing in the above proof is interpreted as a stopping time .

  9. List of theorems - Wikipedia

    en.wikipedia.org/wiki/List_of_theorems

    Optical theorem ; Optional stopping theorem (probability theory) Orbit theorem (Nagano–Sussmann) (control theory) Orbit-stabilizer theorem (group theory) Ore's theorem (graph theory) Orlicz–Pettis theorem (functional analysis) Ornstein theorem (ergodic theory) Oseledec theorem (ergodic theory) Osterwalder–Schrader theorem