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  2. 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]

  3. 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 ...

  4. Seidel's algorithm - Wikipedia

    en.wikipedia.org/wiki/Seidel's_algorithm

    Seidel's algorithm is an algorithm designed by Raimund Seidel in 1992 for the all-pairs-shortest-path problem for undirected, unweighted, connected graphs. [1] It solves the problem in (⁡) expected time for a graph with vertices, where < is the exponent in the complexity () of matrix multiplication.

  5. Orders of magnitude (probability) - Wikipedia

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

    1×10 −6: Life-threatening adverse reaction from a measles vaccine [13] 1.43×10 −6: Probability of the Yellowstone supervolcano erupting in a given year. 1.5×10 −6: Probability of being dealt a royal flush in poker 10 −5: 1.4×10 −5: Probability of being dealt a straight flush (other than a royal flush) in poker 1.6×10 −5

  6. Rule of succession - Wikipedia

    en.wikipedia.org/wiki/Rule_of_succession

    In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre-Simon Laplace in the course of treating the sunrise problem. [1] The formula is still used, particularly to estimate underlying probabilities when there are few observations or events that have not been observed to occur at all in (finite) sample data.

  7. First-hitting-time model - Wikipedia

    en.wikipedia.org/wiki/First-hitting-time_model

    This probability density is calculable from the Survival probability (a more common probability measure in statistics). Consider the absorbing boundary condition p ( x c , t ) = 0 {\displaystyle p(x_{c},t)=0} (The subscript c for the absorption point x c {\displaystyle x_{c}} is an abbreviation for cliff used in many texts as an analogy to an ...

  8. Trump’s historic comeback leads to staggering 1,514% ... - AOL

    www.aol.com/trump-historic-comeback-leads...

    Since the president-elect’s comeback victory became official on Wednesday, the number of related Google searches jumped 1,514% percent, according to VisaGuide.World. Donald Trump won the ...

  9. Onsager–Machlup function - Wikipedia

    en.wikipedia.org/wiki/Onsager–Machlup_function

    and Δt i = t i+1 − t i > 0, t 1 = 0 and t n = T. A similar approximation is possible for processes in higher dimensions. The approximation is more accurate for smaller time step sizes Δt i, but in the limit Δt i → 0 the probability density function becomes ill defined, one reason being that the product of terms