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  2. Martingale (probability theory) - Wikipedia

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

    A convex function of a martingale is a submartingale, by Jensen's inequality. For example, the square of the gambler's fortune in the fair coin game is a submartingale (which also follows from the fact that X n 2 − n is a martingale). Similarly, a concave function of a martingale is a supermartingale.

  3. Martingale difference sequence - Wikipedia

    en.wikipedia.org/wiki/Martingale_difference_sequence

    By construction, this implies that if is a martingale, then = will be an MDS—hence the name. The MDS is an extremely useful construct in modern probability theory because it implies much milder restrictions on the memory of the sequence than independence , yet most limit theorems that hold for an independent sequence will also hold for an MDS.

  4. Doob martingale - Wikipedia

    en.wikipedia.org/wiki/Doob_martingale

    In the mathematical theory of probability, a Doob martingale (named after Joseph L. Doob, [1] also known as a Levy martingale) is a stochastic process that approximates a given random variable and has the martingale property with respect to the given filtration. It may be thought of as the evolving sequence of best approximations to the random ...

  5. Martingale representation theorem - Wikipedia

    en.wikipedia.org/wiki/Martingale_representation...

    The martingale representation theorem can be used to establish the existence of a hedging strategy. Suppose that ( M t ) 0 ≤ t < ∞ {\displaystyle \left(M_{t}\right)_{0\leq t<\infty }} is a Q-martingale process, whose volatility σ t {\displaystyle \sigma _{t}} is always non-zero.

  6. Doob's martingale inequality - Wikipedia

    en.wikipedia.org/wiki/Doob's_martingale_inequality

    Now let X t be a martingale or a positive submartingale; if the index set is uncountable, then (as above) assume that the sample paths are right-continuous. In these scenarios, Jensen's inequality implies that | X t | p is a submartingale for any number p ≥ 1 , provided that these new random variables all have finite integral.

  7. Martingale central limit theorem - Wikipedia

    en.wikipedia.org/wiki/Martingale_central_limit...

    The martingale central limit theorem generalizes this result for random variables to martingales, which are stochastic processes where the change in the value of the process from time t to time t + 1 has expectation zero, even conditioned on previous outcomes.

  8. Mayo Clinic - Wikipedia

    en.wikipedia.org/wiki/Mayo_Clinic

    Mayo Clinic is a nonprofit hospital system with campuses in Rochester, Minnesota; Scottsdale and Phoenix, Arizona; and Jacksonville, Florida. [22] [23] Mayo Clinic employs 76,000 people, including more than 7,300 physicians and clinical residents and over 66,000 allied health staff, as of 2022. [5]

  9. Minimal-entropy martingale measure - Wikipedia

    en.wikipedia.org/wiki/Minimal-entropy_martingale...

    In probability theory, the minimal-entropy martingale measure (MEMM) is the risk-neutral probability measure that minimises the entropy difference between the objective probability measure, , and the risk-neutral measure, .

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