  We propose a new method for finding the highest predictive density set or
region using signed conformal inference. The proposed method is computationally
efficient, while also carrying conformal coverage guarantees. We prove that
under, mild regularity conditions, the conformal prediction set is
asymptotically close to its oracle counterpart. The efficacy of the method is
illustrated through simulations and real applications.
