Void bias from primordial non-Gaussianities
  We study how primordial non-Gaussianities affect the clustering of voids at
large scales. We derive a formula of the bias of voids induced from the
non-Gaussianities by making use of the functional integral method. In a similar
way as of haloes, we find that primordial non-Gaussianities can generate
scale-dependence in the bias of voids at large scales. In addition, we show
that by observing the cross power spectrum of voids and haloes we could check
the consistency relation between the non-linearity parameters f_NL and tau_NL.
Large voids (high peak objects) would be good targets since the effects of
non-Gaussianities are more prominent while the effects of "void-in-cloud" are
less significant.
