Results 251 to 260 of about 175,307,520 (292)

Weak law of large numbers for stationary graph processes

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
The ability to obtain accurate estimators from a set of measurements is a key factor in science and engineering. Typically, there is an inherent assumption that the measurements were taken in a sequential order, be it in space or time. However, data is increasingly irregular so this assumption of sequentially obtained measurements no longer holds.
Fernando Gama, Alejandro Ribeiro
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The Weak Law of Large Numbers. II

1980
In this chapter f(n) will be a strongly additive arithmetic function, and we shall determine when the frequencies $$v_x (n;f(n) - \alpha (x) \leqslant z\beta (x))(x \to \infty )$$ (1) can converge to the improper law, assuming that for each fixed value of y > 0, $$\mathop {\lim }\limits_{x \to \infty } \sup \beta (x^y )/\beta (x)$$ is ...
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Weak law of large numbers for arrays

Statistics & Probability Letters, 1998
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A weak law of large numbers for maxima

Extremes, 2010
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Bounds in the weak law of large numbers

Mathematical Notes of the Academy of Sciences of the USSR, 1972
We obtain bounds of an asymptotic nature in the weak law of large numbers for sums of random variables without assuming the variables in question have any moments.
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On a Weak Law of Large Numbers with Regularly Varying Normalizing Sequences

Journal of Theoretical Probability, 2021
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An Extension of the Weak Law of Large Numbers for Exchangeable Sequences

Acta Applicandae Mathematicae, 2008
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A note on q-weak law of large numbers

Physics Letters A, 2009
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Strong laws of large numbers under weak assumptions with application

IEEE Transactions on Automatic Control, 2000
Summary: The employment of ``strong laws of large numbers'' is instrumental to the analysis of system estimation and identification strategies. However, the vast bulk of such laws, as presented in the wider literature, assume independence or at least uncorrelatedness of random components, and these assumptions are quite restrictive from an engineering ...
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On the Weak Law of Large Numbers for D(0,1).

1979
Abstract : Weak laws of large numbers are obtained for random elements in D(0,1) where the convergence is in the sup-norm topology. For identically distributed random elements satisfying a compact integral condition, the weak law of large numbers holding pointwise is shown to be necessary and sufficient for the weak law of large numbers. In addition to
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