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A short note on multivariate dependence modeling

Vladislav Bína, Radim Jiroušek (2013)

Kybernetika

As said by Mareš and Mesiar, necessity of aggregation of complex real inputs appears almost in any field dealing with observed (measured) real quantities (see the citation below). For aggregation of probability distributions Sklar designed his copulas as early as in 1959. But surprisingly, since that time only a very few literature have appeared dealing with possibility to aggregate several different pairwise dependencies into one multivariate copula. In the present paper this problem is tackled...

Average convergence rate of the first return time

Geon Choe, Dong Kim (2000)

Colloquium Mathematicae

The convergence rate of the expectation of the logarithm of the first return time R n , after being properly normalized, is investigated for ergodic Markov chains. I. Kontoyiannis showed that for any β > 0 we have l o g [ R n ( x ) P n ( x ) ] = o ( n β ) a.s. for aperiodic cases and A. J. Wyner proved that for any ε >0 we have - ( 1 + ε ) l o g n ≤ l o g [ R n ( x ) P n ( x ) ] ≤ l o g l o g n eventually, a.s., where P n ( x ) is the probability of the initial n-block in x. In this paper we prove that E [ l o g R ( L , S ) - ( L - 1 ) h ] converges to a constant depending only on the process where R ( L , S ) is the modified first return time with...

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