Results 111 to 120 of about 166,082,168 (134)
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Weak convergence of probability measures in the spaces of continuously differentiable functions

Siberian Mathematical Journal, 1993
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Weak Convergence of Probability Measures on the Line and Helly’s Theorems

1992
In the proof of the De Moivre-Laplace Limit Theorem (see Lecture 3) we came across the following situation. We considered a random variable η n which takes values of the form \( k/\sqrt {npq} \) where k 0 is an integer, with probabilities of the form $$ \frac{1}{{\sqrt {2\pi npq} }}\exp \left( { - \frac{1}{2}\frac{{{k^2}}}{{npq}}} \right)\left( {1 +
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UNIQUENESS IN MOMENT — PROBLEMS OVER NUCLEAR SPACES AND WEAK CONVERGENCE OF PROBABILITY MEASURES

Reviews in Mathematical Physics, 1993
Based on results from the theory of ordered (topological) vector spaces and on the theory of Fourier transforms of Radon probability measures (Bochner–Minlos–Schwartz) we present a solution of infinite dimensional moment problems over real nuclear spaces E. Both moment and truncated moment problems are treated simultaneously.
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Weak convergence of probability measures and random functions in the function space D[0,∞)

Journal of Applied Probability, 1973
This paper extends the theory of weak convergence of probability measures and random functions in the function space D[0,1] to the case D [0,∞), elaborating ideas of C. Stone and W. Whitt. 7)[0,∞) is a suitable space for the analysis of many processes appearing in applied probability.
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An application of transformation of drift to weak convergence of quasimartingale probability measures

The science reports of the Kanazawa University=金沢大学理科報告, 1996
Girsanov's transformation of drift is applied in order to catch the movement of the mean vector of the limiting Wiener process in a central limit theorem for sequences of continuous quasimartingales. Two homogenization problems for diffusions are discussed as examples.
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Effective weak and vague convergence of measures on the real line

Archive for Mathematical Logic, 2023
Diego A Rojas
exaly  

A note on the extension and weak convergence of some probability measures

Advances in Applied Probability, 1976
Douglas R. Miller, F. Dennis Sentilles
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