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Continuity in probability information


In probability theory, a stochastic process is said to be continuous in probability or stochastically continuous if its distributions converge whenever the values in the index set converge. [1][2]

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  2. ^ Cite error: The named reference KallebergFoundations286 was invoked but never defined (see the help page).

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Continuity equation

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Brownian motion, then there is a continuity equation for its probability distribution. The flux in this case is the probability per unit area per unit time...

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Continuity in probability

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{\displaystyle s} . Feller processes are continuous in probability at t = 0 {\displaystyle t=0} . Continuity in probability is a sometimes used as one of the defining...

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Continuous stochastic process

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particular: continuity with probability one implies continuity in probability; continuity in mean-square implies continuity in probability; continuity with probability...

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Gaussian process

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process, continuity in probability is equivalent to mean-square continuity,: 145  and continuity with probability one is equivalent to sample continuity.: 91...

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Continuity

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applied to the conic sections and related shapes In probability theory Continuous stochastic process Continuity equations applicable to conservation of mass...

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Continuity correction

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probability distribution functions accurately, continuity corrections played an important role in the practical application of statistical tests in which...

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Convergence of random variables

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In probability theory, there exist several different notions of convergence of sequences of random variables, including convergence in probability, convergence...

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Probability current

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current (i.e. the probability current density) is related to the probability density function via a continuity equation. The probability current is invariant...

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Bayesian probability

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Bayesian probability (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is an interpretation of the concept of probability, in which, instead of frequency or...

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Almost surely

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subsets of probability 0. Some examples of the use of this concept include the strong and uniform versions of the law of large numbers, the continuity of the...

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Binomial distribution

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In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes...

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Absolute continuity

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In calculus and real analysis, absolute continuity is a smoothness property of functions that is stronger than continuity and uniform continuity. The notion...

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Probability amplitude

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In quantum mechanics, a probability amplitude is a complex number used for describing the behaviour of systems. The square of the modulus of this quantity...

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Additive process

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An additive process, in probability theory, is a cadlag, continuous in probability stochastic process with independent increments. An additive process...

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Poisson distribution

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In probability theory and statistics, the Poisson distribution is a discrete probability distribution that expresses the probability of a given number...

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List of probability topics

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catalog of articles in probability theory. For distributions, see List of probability distributions. For journals, see list of probability journals. For contributors...

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Continuity set

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In measure theory, a branch of mathematics, a continuity set of a measure μ is any Borel set B such that μ ( ∂ B ) = 0 , {\displaystyle \mu (\partial B)=0\...

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List of theorems

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Levitzky's theorem (ring theory) Lévy continuity theorem (probability) Lévy's modulus of continuity theorem (probability) Lickorish twist theorem (geometric...

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Binomial test

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sample data. The binomial test is useful to test hypotheses about the probability ( π {\displaystyle \pi } ) of success: H 0 : π = π 0 {\displaystyle H_{0}\colon...

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Dini continuity

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local Dini continuity implies convergence of a Fourier transform. Stenflo, Örjan (2001). "A note on a theorem of Karlin". Statistics & Probability Letters...

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Binomial proportion confidence interval

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In statistics, a binomial proportion confidence interval is a confidence interval for the probability of success calculated from the outcome of a series...

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