Results 251 to 260 of about 166,071,484 (282)

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
openaire   +1 more source

Weak Convergence of Integrands and the Young Measure Representation

SIAM Journal on Mathematical Analysis, 1992
Let \(\mathbb{M}\) be the collection of the \(m\times n\) matrices and \(\varphi:\mathbb{M}\to\mathbb{R}\). The main results of this paper are as follows: Theorem 1. Let \(\varphi\) be continuous and quasi-convex and satisfy \(0\leq\varphi(A)\leq C(1+| A|^ p)\), \(A\in\mathbb{M}\), where \(1\leq p\leq\infty\).
Kinderlehrer, David, Pedregal, Pablo
openaire   +1 more source

Weak convergence of spectral measures

1997
Summary: The property of weak compactness for sequences of finite Borel measures on the real line is extended to a sequence of families of Borel measures on \(\mathbb{R}\) and discussed in the study of sequences of bounded selfadjoint operators on a separable real Hilbert space.
openaire   +1 more source

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 ...
openaire   +1 more source

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.
openaire   +1 more source

On Weak Convergence of Measures on [0, 1]

Journal of the London Mathematical Society, 1968
Friedman, N., Katz, Melvin, Koopmans, L. H.   +2 more
openaire   +2 more sources

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.
openaire   +1 more source

FUZZY CONVERGENCE VERSUS WEAK CONVERGENCE IN SPACES OF PROBABILITY MEASURES

1984
If X is a separable metrizable space, then on the set \({\mathcal M}(X)\) of all probability measures on X, the structure most frequently used is the weak topology, also called topology of weak convergence. In Math. Nachr. 115, 33-57 (1984; Zbl 0593.54006), the author introduced an alternative structure, a fuzzy topology, the topological modification ...
openaire   +2 more sources

Effective weak and vague convergence of measures on the real line

Archive for Mathematical Logic, 2023
Diego Rojas
exaly  

Weak convergence of nonadditive measures based on nonlinear integral functionals

Fuzzy Sets and Systems, 2016
Jun Kawabe
exaly