Now showing items 1-2 of 2

    • Bayesian mode and maximum estimation and accelerated rates of contraction 

      Yoo, WW; Ghosal, S
      We study the problem of estimating the mode and maximum of an unknown regression function in the presence of noise. We adopt the Bayesian approach by using tensor-product B-splines and endowing the coefficients with Gaussian ...
    • Hierarchical Species Sampling Models 

      Bassetti, F; Casarin, R; Rossini, L (Project Euclid, 2020)
      This paper introduces a general class of hierarchical nonparametric prior distributions. The random probability measures are constructed by a hierarchy of generalized species sampling processes with possibly non-diffuse ...