Results 221 to 230 of about 65,615 (264)

On the Weak Convergence of Probability Measures in Orlicz Spaces

Theory of Probability and Its Applications, 1996
Necessary and sufficient conditions for weak convergence of probability measures in separable Orlicz spaces in terms of characteristic functionals and norm moments are given.
exaly   +3 more sources

Convergence of Probability Measures

Technometrics, 1970
Weak Convergence in Metric Spaces. The Space C. The Space D. Dependent Variables. Other Modes of Convergence. Appendix. Some Notes on the Problems. Bibliographical Notes. Bibliography. Index.
James L. Snell, P. Billingsley
  +4 more sources

Convergence of Probability Measures

Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1969
Convergence of Probability Measures. By P. Billingsley. Chichester, Sussex, Wiley, 1968. xii, 253 p. 9 1/4“. 117s.
J. F. C. Kingman, P. Billingsley
openaire   +1 more source

On the Convergence in Probability of Random Sets (Measurable Multifunctions)

Mathematics of Operations Research, 1986
It is shown that the convergence in probability of random sets introduced by Salinetti and Wets is consistent with the more standard definitions of convergence in probability, and is metric invariant.
G. Salinetti, W. Vervaat, Roger J.-B. Wets   +2 more
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Weak Convergence of Probability Measures

1978
The methods of the theory of weak convergence of probability measures are of wide use in many areas of applications to statistics, operations research and stochastic control theory, where it is convenient or useful to approximate a process by a sequence of other processes or vice versa.
Harold J. Kushner, Dean S. Clark
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A note on convergence of probability measures

Journal of Applied Probability, 2001
We present, discuss and prove an apparently unfamiliar result in the convergence of probability measures.
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On Weak Convergence of Probability Measures in a Banach Space

Journal of Mathematical Sciences, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Weak Convergence of Probability Measures

1977
Throughout this chapter we shall concern ourselves with the study of probability measures on separable metric spaces only. As usual, for any such metric space X we shall write B X for the borel σ-algebra of subsets of X. We shall denote by C(X) the space of all bounded real valued continuous functions on X and M0(X) the space of all probability ...
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On “predictable” convergence criteria in variation of probability measures

Russian Mathematical Surveys, 1984
This is an announcement of the results published later with the proofs in the author's paper ''On necessary and sufficient conditions for convergence of probability measures in variation''. Stochastic Processes Appl. 18, 99-112 (1984; Zbl 0547.60008).
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Weak Convergence of Probability Measures

2013
Let X = (X1, X2,…, X p ) be a p-vector variable with df \( \mathbb{F} \) and dm denoted by µ X or µF. The df F j of X j is called the j th marginal of X or of \( \mathbb{F} \) or of µF, 1 ≤ j ≤ p.
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