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  2. Stochastic process - Wikipedia

    en.wikipedia.org/wiki/Stochastic_process

    In the 1990s and 2000s the theories of Schramm–Loewner evolution [272] and rough paths [142] were introduced and developed to study stochastic processes and other mathematical objects in probability theory, which respectively resulted in Fields Medals being awarded to Wendelin Werner [273] in 2008 and to Martin Hairer in 2014.

  3. Mathematical model - Wikipedia

    en.wikipedia.org/wiki/Mathematical_model

    Conversely, in a stochastic model—usually called a "statistical model"—randomness is present, and variable states are not described by unique values, but rather by probability distributions. Deductive, inductive, or floating. A deductive model is a logical structure based on a theory. An inductive model arises from empirical findings and ...

  4. Probability theory - Wikipedia

    en.wikipedia.org/wiki/Probability_theory

    Central subjects in probability theory include discrete and continuous random variables, probability distributions, and stochastic processes (which provide mathematical abstractions of non-deterministic or uncertain processes or measured quantities that may either be single occurrences or evolve over time in a random fashion). Although it is ...

  5. Stochastic - Wikipedia

    en.wikipedia.org/wiki/Stochastic

    In mathematics, the theory of stochastic processes is an important contribution to probability theory, [29] and continues to be an active topic of research for both theory and applications. [30] [31] [32] The word stochastic is used to describe other terms and objects in mathematics.

  6. Deterministic system - Wikipedia

    en.wikipedia.org/wiki/Deterministic_system

    The systems studied in chaos theory are deterministic. If the initial state were known exactly, then the future state of such a system could theoretically be predicted. However, in practice, knowledge about the future state is limited by the precision with which the initial state can be measured, and chaotic systems are characterized by a strong dependence on the initial condit

  7. Schramm–Loewner evolution - Wikipedia

    en.wikipedia.org/wiki/Schramm–Loewner_evolution

    Schramm–Loewner evolution on the upper half plane with hue indicating ⁡ (⁡ (())). In probability theory, the Schramm–Loewner evolution with parameter κ, also known as stochastic Loewner evolution (SLE κ), is a family of random planar curves that have been proven to be the scaling limit of a variety of two-dimensional lattice models in statistical mechanics.

  8. Theoretical ecology - Wikipedia

    en.wikipedia.org/wiki/Theoretical_ecology

    Ecological models can be deterministic or stochastic. [3] Deterministic models always evolve in the same way from a given starting point. [4] They represent the average, expected behavior of a system, but lack random variation. Many system dynamics models are deterministic. Stochastic models allow for the direct modeling of the random ...

  9. Moran process - Wikipedia

    en.wikipedia.org/wiki/Moran_process

    The probability that A reaches fixation is called fixation probability. For the simple Moran process this probability is x i = ⁠ i / N ⁠ . Since all individuals have the same fitness, they also have the same chance of becoming the ancestor of the whole population; this probability is ⁠ 1 / N ⁠ and thus the sum of all i probabilities ...