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  2. Gambler's ruin - Wikipedia

    en.wikipedia.org/wiki/Gambler's_ruin

    In statistics, gambler's ruin is the fact that a gambler playing a game with negative expected value will eventually go bankrupt, regardless of their betting system.. The concept was initially stated: A persistent gambler who raises his bet to a fixed fraction of the gambler's bankroll after a win, but does not reduce it after a loss, will eventually and inevitably go broke, even if each bet ...

  3. Risk of ruin - Wikipedia

    en.wikipedia.org/wiki/Risk_of_ruin

    Risk of ruin is a concept in gambling, insurance, and finance relating to the likelihood of losing all one's investment capital or extinguishing one's bankroll below the minimum for further play. [1] For instance, if someone bets all their money on a simple coin toss, the risk of ruin is 50%.

  4. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    Random walks based on integers and the gambler's ruin problem are examples of Markov processes. [33] [34] Some variations of these processes were studied hundreds of years earlier in the context of independent variables.

  5. Stochastic process - Wikipedia

    en.wikipedia.org/wiki/Stochastic_process

    A Markov chain is a type of Markov process that has either discrete state space or ... the problem known as the Gambler's ruin is based on a simple random walk ...

  6. Optional stopping theorem - Wikipedia

    en.wikipedia.org/wiki/Optional_stopping_theorem

    Then the gambler's fortune over time is a martingale, and the time τ at which he decides to quit (or goes broke and is forced to quit) is a stopping time. So the theorem says that E[X τ] = E[X 0]. In other words, the gambler leaves with the same amount of money on average as when he started. (The same result holds if the gambler, instead of ...

  7. Markov property - Wikipedia

    en.wikipedia.org/wiki/Markov_property

    The term Markov assumption is used to describe a model where the Markov property is assumed to hold, such as a hidden Markov model. A Markov random field extends this property to two or more dimensions or to random variables defined for an interconnected network of items. [1] An example of a model for such a field is the Ising model.

  8. Why 'Ruined Orgasms' Can Feel Surprisingly Good - AOL

    www.aol.com/why-ruined-orgasms-feel-surprisingly...

    If your partner is the one getting you off, they can ruin your orgasm by stopping stimulation, slowing down, or changing the type of stimulation they’re providing when you’re almost over the edge.

  9. First-hitting-time model - Wikipedia

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

    A common example of a first-hitting-time model is a ruin problem, such as Gambler's ruin. In this example, an entity (often described as a gambler or an insurance company) has an amount of money which varies randomly with time, possibly with some drift. The model considers the event that the amount of money reaches 0, representing bankruptcy.