For (3), classification can be performed if you have an unlabeled class from both distributions and one labeled class.

Here is an example:

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05460897

(1) usually involves estimating a divergence (such as Kullback-Leibler) with a sliding window and comparing the result.