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  2. 1514 in science - Wikipedia

    en.wikipedia.org/wiki/1514_in_science

    The year 1514 in science and technology included many events, some of which are listed here. Events. June 13 – Henry Grace à Dieu, at over 1,000 tons the ...

  3. Continuous mapping theorem - Wikipedia

    en.wikipedia.org/wiki/Continuous_mapping_theorem

    On the right-hand side, the first term converges to zero as n → ∞ for any fixed δ, by the definition of convergence in probability of the sequence {X n}. The second term converges to zero as δ → 0, since the set B δ shrinks to an empty set. And the last term is identically equal to zero by assumption of the theorem.

  4. Principle of maximum caliber - Wikipedia

    en.wikipedia.org/wiki/Principle_of_maximum_caliber

    The principle of maximum caliber (MaxCal) or maximum path entropy principle, suggested by E. T. Jaynes, [1] can be considered as a generalization of the principle of maximum entropy. It postulates that the most unbiased probability distribution of paths is the one that maximizes their Shannon entropy. This entropy of paths is sometimes called ...

  5. Onsager–Machlup function - Wikipedia

    en.wikipedia.org/wiki/Onsager–Machlup_function

    The Onsager–Machlup function is a function that summarizes the dynamics of a continuous stochastic process.It is used to define a probability density for a stochastic process, and it is similar to the Lagrangian of a dynamical system.

  6. Reflection principle (Wiener process) - Wikipedia

    en.wikipedia.org/wiki/Reflection_principle...

    In the theory of probability for stochastic processes, the reflection principle for a Wiener process states that if the path of a Wiener process f(t) reaches a value f(s) = a at time t = s, then the subsequent path after time s has the same distribution as the reflection of the subsequent path about the value a. [1]

  7. Maximal entropy random walk - Wikipedia

    en.wikipedia.org/wiki/Maximal_Entropy_Random_Walk

    Maximal entropy random walk (MERW) is a popular type of biased random walk on a graph, in which transition probabilities are chosen accordingly to the principle of maximum entropy, which says that the probability distribution which best represents the current state of knowledge is the one with largest entropy.

  8. Orders of magnitude (probability) - Wikipedia

    en.wikipedia.org/wiki/Orders_of_magnitude...

    1.4×103: Probability of a human birth giving triplets or higher-order multiples [18] Probability of being dealt a full house in poker 1.9×103: Probability of being dealt a flush in poker 2.7×103: Probability of a random day of the year being your birthday (for all birthdays besides Feb. 29) 4×103: Probability of being dealt ...

  9. Convergence of random variables - Wikipedia

    en.wikipedia.org/wiki/Convergence_of_random...

    If X n converges in probability to X, and if P(| X n | ≤ b) = 1 for all n and some b, then X n converges in rth mean to X for all r ≥ 1. In other words, if X n converges in probability to X and all random variables X n are almost surely bounded above and below, then X n converges to X also in any rth mean. [10] Almost sure representation ...