Übersetzung für 'Laplace probability' von Englisch nach Deutsch

Laplace probability

Laplace-Wahrscheinlichkeit {f}math.

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Laplace plane

Laplace-Ebene {f}astron.

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Laplace distribution

Laplace-Verteilung {f}math.stat.

Laplace'sch {adj}

laplaceschastron.math.phys.

Laplace transform

Laplace-Transformation {f}math.

Laplace filter

Laplace-Filter {m}math.

inverse Laplace transform

inverse Laplace-Transformation {f}math.

Laplace's equation

Laplace'sche Gleichung {f} [veraltend] [Laplace-Gleichung]electr.phys.

Laplacesche Gleichung {f} [alt] [veraltend für: Laplace-Gleichung]electr.phys.

Laplace-Gleichung {f}math.

Laplace's theory

Laplace'sche Theorie {f}

laplacesche Theorie {f}

Laplace operator <Δ>

Laplace-Operator {m} <Δ>math.

Laplace's Demon

laplacescher Dämon {m}

Laplacescher Dämon {m}

Laplace number <La>

Laplace-Zahl {f} <La>engin.unit

Young-Laplace equation

Young-Laplace-Gleichung {f}math.

Young-Laplace fit

Young-Laplace-Fit {m}phys.

Kant-Laplace's theory

kant-laplacesche Theorie {f}

Kant-Laplace'sche Theorie {f}

Kant-Laplacesche Theorie {f} [alt]

• Dirichlet also lectured on probability theory and least squares, introducing some original methods and results, in particular for limit theorems and an improvement of Laplace's method of approximation related to the central limit theorem.
• Todhunter's major historical works include a history of the Probability theory from the time of Blaise Pascal to that of Pierre-Simon Laplace first published in 1865.
• As a special case, a uniform prior probability density (Laplace's principle of indifference, sometimes called the principle of insufficient reason), may be adopted.
• The Green's functions in both 2D and 3D are identical to the probability density function of the multivariate Laplace distribution for two and three dimensions respectively.
• Early Bayesian inference, which used uniform priors following Laplace's principle of insufficient reason, was called "inverse probability" (because it infers backwards from observations to parameters, or from effects to causes).

• The related concept of conditional probability dates back at least to Laplace, who calculated conditional distributions.
• The Laplace transform has applications throughout probability theory, including first passage times of stochastic processes such as Markov chains, and renewal theory.
• A particular focus of his work was the construction of logical principles for assigning prior probability distributions; see the principle of maximum entropy, the principle of maximum caliber, the principle of transformation groups and Laplace's principle of indifference.
• A sum of discrete random variables is still a discrete random variable, so that we are confronted with a sequence of discrete random variables whose cumulative probability distribution function converges towards a cumulative probability distribution function corresponding to a continuous variable (namely that of the normal distribution).
• To be equal in distribution, random variables need not be defined on the same probability space.

• The modern mathematical theory of probability has its roots in attempts to analyze games of chance by Gerolamo Cardano in the sixteenth century, and by Pierre de Fermat and Blaise Pascal in the seventeenth century (for example the "problem of points").
• Note that for the case where [...] has a continuous probability density function [...] , [...] is the two-sided Laplace transform of [...].
• The sedimentation length describes the probability of finding a colloidal particle at a height [...] above the point of reference [...].