Modeling cosmic void statistics
  Understanding the internal structure and spatial distribution of cosmic voids
is crucial when considering them as probes of cosmology. We present recent
advances in modeling void density- and velocity-profiles in real space, as well
as void two-point statistics in redshift space, by examining voids identified
via the watershed transform in state-of-the-art $\Lambda$CDM n-body simulations
and mock galaxy catalogs. The simple and universal characteristics that emerge
from these statistics indicate the self-similarity of large-scale structure and
suggest cosmic voids to be among the most pristine objects to consider for
future studies on the nature of dark energy, dark matter and modified gravity.
