Law of the iterated logarithm and local variations at zero of the sticky Brownian motion
We obtain for the sticky Brownian motion local properties analogous to the law of the iterated logarithm for the standard Brownian motion.Sticky Brownian motion Law of the iterated logarithm Local variations at zero Brownian local ...
Knight, Frank B., Amir, Madjid
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Empirical law of the iterated logarithm for Markov chains with a countable state space
We find conditions which are sufficient and nearly necessary for the compact and bounded law of the iterated logarithm for Markov chains with a countable state space.
Tsung-hsi Tsai
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Learning by Population Genetics and Matrix Riccati Equation. [PDF]
Kozyrev S.
europepmc +1 more source
The law of the iterated logarithm for character ratios
Recently, Fulman developed some general connections between martingales and character ratios of a random representation of the symmetric group on transitions, and obtained a convergence rate in a central limit theorem.
Su, Zhonggen
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The law of iterated logarithm for solutions of stochastic differential equations
Доведено закон повторного логарифму для розв'язків стохастичних рівнянь зі збуреними періодичними коефіцієнтами.We prove the law of iterated logarithm for solutions of stochastic differential equations with perturbed periodic ...
Махно, С.Я.
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Asymptotic behavior of an intrinsic rank-based estimator of the Pickands dependence function constructed from B-splines. [PDF]
Bücher A +3 more
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The Law of the Iterated Logarithm and Central Limit Theorem for L-Statistics
The Chung-Smirnov law of the iterated logarithm and the Finkelstein functional law of the iterated logarithm for empirical processes are used to establish new results on the central limit theorem, the law of the iterated logarithm, and the strong law of ...
Bhaskara Rao, M. +2 more
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Determining the Conclusiveness of Systematic Review Evidence : A Scoping Review of Methodological Approaches. [PDF]
Ban JW, Madsen T, Robinson KA, Lund H.
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A generalized law of the iterated logarithm
Let {Sn, n [greater-or-equal, slanted] } denote the partial sums of a sequence of independent random variables, and let (Bn, n [greater-or-equal, slanted] 1) be a non-decreasing sequence with Bn --> [infinity].
Tomkins, R. J.
core
How Long does it Take to Train an Elephant Random Walk. [PDF]
Fang Z.
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