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  2. First-hitting-time model - Wikipedia

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

    More colloquially, a first passage time in a stochastic system, is the time taken for a state variable to reach a certain value. Understanding this metric allows one to further understand the physical system under observation, and as such has been the topic of research in very diverse fields, from economics to ecology.

  3. First passage percolation - Wikipedia

    en.wikipedia.org/wiki/First_passage_percolation

    First passage percolation is one of the most classical areas of probability theory. It was first introduced by John Hammersley and Dominic Welsh in 1965 as a model of fluid flow in a porous media. [1] It is part of percolation theory, and classical Bernoulli percolation can be viewed as a subset of first passage percolation.

  4. Hitting time - Wikipedia

    en.wikipedia.org/wiki/Hitting_time

    The first exit time (from A) is defined to be the first hit time for S \ A, the complement of A in S. Confusingly, this is also often denoted by τ A. [1] The first return time is defined to be the first hit time for the singleton set {X 0 (ω)}, which is usually a given deterministic element of the state space, such as the origin of the ...

  5. Inverse Gaussian distribution - Wikipedia

    en.wikipedia.org/wiki/Inverse_Gaussian_distribution

    This distribution appears to have been first derived in 1900 by Louis Bachelier [6] [7] as the time a stock reaches a certain price for the first time. In 1915 it was used independently by Erwin Schrödinger [4] and Marian v. Smoluchowski [5] as the time to first passage of a Brownian motion.

  6. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    The lifetime distribution function, conventionally denoted F, ... the survival event density function is known as the first passage time density.

  7. Residence time (statistics) - Wikipedia

    en.wikipedia.org/wiki/Residence_time_(statistics)

    This is the smallest time after the initial time t 0 that y(t) is equal to one of the critical values forming the boundary of the interval, assuming y 0 is within the interval. Because y(t) proceeds randomly from its initial value to the boundary, τ(y 0) is itself a random variable. The mean of τ(y 0) is the residence time, [1] [2]

  8. Discrete-time Markov chain - Wikipedia

    en.wikipedia.org/wiki/Discrete-time_Markov_chain

    The hitting time is the time, starting in a given set of states until the chain arrives in a given state or set of states. The distribution of such a time period has a phase type distribution. The simplest such distribution is that of a single exponentially distributed transition. [citation needed]

  9. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    The hitting time is the time, starting in a given set of states until the chain arrives in a given state or set of states. The distribution of such a time period has a phase type distribution. The simplest such distribution is that of a single exponentially distributed transition.