  We recall the main concepts of the Le Cam theory of statistical experiments ,
especially the notion of Le Cam distance and its properties. We also review
classical tools for bounding such a distance before presenting some examples. A
proof of the classical equivalence result between density estimation problems
and Gaussian white noise models will be analyzed.
