  We prove limit theorems for sums of randomly chosen random variables
conditioned on the summands. We consider several versions of the corner growth
setting, including specific cases of dependence amongst the summands and
summands with heavy tails. We also prove a version of Hoeffding's combinatorial
central limit theorem and results for summands taken uniformly from a random
sample. These results are proved with concentration of measure techniques.
