Generic inference of inflation models by local non-Gaussianity
  The presence of multiple fields during inflation might seed a detectable
amount of non-Gaussianity in the curvature perturbations, which in turn becomes
observable in present data sets like the cosmic microwave background (CMB) or
the large scale structure (LSS). Within this proceeding we present a fully
analytic method to infer inflationary parameters from observations by
exploiting higher-order statistics of the curvature perturbations. To keep this
analyticity, and thereby to dispense with numerically expensive sampling
techniques, a saddle-point approximation is introduced whose precision has been
validated for a numerical toy example. Applied to real data, this approach
might enable to discriminate among the still viable models of inflation.
