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A note on convergence rates in the strong law of large numbers for associated sequences

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Detalhes bibliográficos
Resumo:Let $X_n,\,n\in \N$, be a strictly stationary sequence of centered and associated real random variables. Sufficient conditions for the strong law of large numbers to hold are known, but no rates of convergence where given. We derive an upper bound for this convergence rate. This rate is made explicit for geometrically decreasing covariances.
Autores principais:Azevedo, Cecília Maria
Assunto:Association Convergence rates Kernel estimation
Ano:2008
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:Let $X_n,\,n\in \N$, be a strictly stationary sequence of centered and associated real random variables. Sufficient conditions for the strong law of large numbers to hold are known, but no rates of convergence where given. We derive an upper bound for this convergence rate. This rate is made explicit for geometrically decreasing covariances.