The entropy principle yields, for a given set of moments, a density that involves the smallest amount of prior information. We first show how entropy densities may be constructed in a numerically efficient way as the minimization of a potential. Next, for the case where the first four moments...

Given a sequence (s0; s1,..., sN) of observations from a finite set S, we construct a process (sn)n_N that satisfies the following properties: (i) (Sn)n_ ·N is a piecewise Markov chain, (ii) the conditional distribution of sn given S0,...,Sn-1 is close to the empirical transition given by the...

Presentation of the PLS regression