This talk is devoted to rates of convergence for minimal distances and for the uniform distance, between the law of partial sums associated with non necessarily stationary sequences and the limiting Gaussian distribution. Applications to linear statistics, non stationary rho-mixing sequences and sequential dynamical systems will be provided. This is a joint work with J. Dedecker and E. Rio.

In this talk, we shall first review some projective criteria under which the central limit theorem holds. The projective criteria considered will be the Heyde criterion, the Hannan criterion, the Maxwell-Woodroofe condition and the Dedecker-Rio's condition. We shall also investigate under which projective criteria the reinforced versions of the CLT such as the weak invariance principle or the quenched CLT (and its functional form) still hold.