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In this paper, we give precise rates of convergence in the strong invarianceprinciple for stationary sequences of bounded real-valued random variablessatisfying weak dependence conditions. One of the main ingredients is a newFuk-Nagaev type inequality for a class of weakly dependent sequences. Wedescribe also several classes of processes to which our results apply.

Deviation inequalities for dependent sequences with applications to strong approximations