  In this paper we consider stopping problems with partial observation under a
general risk-sensitive optimization criterion for problems with finite and
infinite time horizon. Our aim is to maximize the certainty equivalent of the
stopping reward. We develop a general theory and discuss the Bayesian
risk-sensitive house selling problem as a special example. In particular we are
able to study the influence of the attitude towards risk of the decision maker
on the optimal stopping rule.
