A general strong approximation theorem for dependent -valued random vectors

For a sequence of φ-mixing R d -valued random vectors { X n , n ⩾ 1 } , based on the Berkes–Philipp coupling construction and the blocking method with growing blocks, a general strong approximation theorem is derived without second absolute moment, which extends previous result for independent cases.