Results 11 to 20 of about 114,898,652 (277)

Limit theorems in bi-free probability theory [PDF]

open access: yesProbability Theory and Related Fields, 2018
31 ...
Hasebe, Takahiro   +2 more
openaire   +7 more sources

Multivariate normal approximation in geometric probability [PDF]

open access: yes, 2008
Consider a measure μλ = Σx ξx δx where the sum is over points x of a Poisson point process of intensity λ on a bounded region in d-space, and ξx is a functional determined by the Poisson points near to x, i.e.
Penrose, Mathew D., Wade, Andrew R.
core   +4 more sources

Asymptotically Normal Estimators for the Parameters of the Gamma-Exponential Distribution

open access: yesMathematics, 2021
Currently, much research attention has focused on generalizations of known mathematical objects in order to obtain adequate models describing real phenomena.
Alexey Kudryavtsev, Oleg Shestakov
doaj   +1 more source

On certain limit theorems of the theory of probability [PDF]

open access: yesBulletin of the American Mathematical Society, 1946
Not ...
Erdös, P., Kac, M.
openaire   +2 more sources

On MV-Algebraic Versions of the Strong Law of Large Numbers

open access: yesEntropy, 2019
Many-valued (MV; the many-valued logics considered by Łukasiewicz)-algebras are algebraic systems that generalize Boolean algebras. The MV-algebraic probability theory involves the notions of the state and observable, which abstract the probability ...
Piotr Nowak, Olgierd Hryniewicz
doaj   +1 more source

Extended Poisson-Kac Theory: A Unifying Framework for Stochastic Processes with Finite Propagation Velocity

open access: yesPhysical Review X, 2022
Stochastic processes play a key role for modeling a huge variety of transport problems out of equilibrium, with manifold applications throughout the natural and social sciences.
Massimiliano Giona   +2 more
doaj   +1 more source

A Proof of the Generalized Second-Limit Theorem in the Theory of Probability [PDF]

open access: yesTransactions of the American Mathematical Society, 1931
A particular case is represented by dF(x) =f(x)dx, where f(x), summable and >0, is the "probability density" or "law of distribution" for x. The expression f -'.xsdF(x) is called the "sth moment" of the distribution, s taking values 0, 1, 2, The Second Limit-Theorem, which was the starting point of this paper, can be stated, with A.
Fréchet, Maurice, Shohat, J.
openaire   +1 more source

On the Special Issue “Limit Theorems of Probability Theory”

open access: yesMathematics, 2023
M [...]
Alexander N. Tikhomirov   +1 more
openaire   +2 more sources

Functional central limit theorems on Lie groups: A survey [PDF]

open access: yes, 1998
The general solution of the functional central limit problems for triangular arrays of random variables with values in a Lie group is described. The role of processes of finite variation is clarified.
Gyula Pap, Pap, Gyula
core   +1 more source

The Nonadditive Entropy Sq and Its Applications in Physics and Elsewhere: Some Remarks

open access: yesEntropy, 2011
The nonadditive entropy Sq has been introduced in 1988 focusing on a generalization of Boltzmann–Gibbs (BG) statistical mechanics. The aim was to cover a (possibly wide) class of systems among those very many which violate hypothesis such as ergodicity ...
Constantino Tsallis
doaj   +1 more source

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