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Comparative effectiveness of traditional Chinese exercises for knee osteoarthritis: a systematic review and Bayesian network meta-analysis. [PDF]
Front Public HealthLi Y +5 more
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Quantum-secured routing in drone communication for 6G-enabled smart mobility. [PDF]
Sci RepHafeez S +5 more
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Inland Deforestation Organizes Convective Extremes.
Engelbrecht E, Haerter J, Klein C.
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An application of transformation of drift to weak convergence of quasimartingale probability measuresopenaire
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Weak Convergence of Probability Measures
, 2005Throughout 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 ...
K. Parthasarathy
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Weak Convergence of Probability Measures
, 2013Let 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.
R. Pakshirajan
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Weak Convergence of Probability Measures
, 1978The 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.
H. Kushner, D. Clark
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Weak Convergence of Probability Measures on Metric Spaces
, 2016Let \((S,\rho )\) be a metric space and let \(\mathcal {P}(S)\) be the set of all probability measures on \((S, \mathcal {B}(S)).\) In this chapter we consider a general formulation of convergence in \(\mathcal {P}(S)\), referred to as weak convergence or convergence in distribution.
R. Bhattacharya, E. Waymire
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On the Weak Convergence of Probability Measures in Orlicz Spaces
Theory of Probability & Its Applications, 1996Necessary and sufficient conditions for weak convergence of probability measures in separable Orlicz spaces in terms of characteristic functionals and norm moments are given.
A. Baushev
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