3 papers
math.ST2013
Bayesian methods in the Shape Invariant Model (II): Identifiability and posterior contraction rates on functional spaces
Dominique Bontemps, Sebastien Gadat
In this paper, we consider the so-called Shape Invariant Model which stands for the estimation of a function f0 submitted to a random translation of law g0 in a white noise model.…
math.ST2013
Bayesian methods in the Shape Invariant Model (I): Posterior contraction rates on probability measures
Dominique Bontemps, Sebastien Gadat
In this paper, we consider the so-called Shape Invariant Model which stands for the estimation of a function f0 submitted to a random translation of law g0 in a white noise model.…
math.ST2012
Bayesian posterior consistency in the functional randomly shifted curves model
Dominique Bontemps, Sébastien Gadat
In this paper, we consider the so-called Shape Invariant Model which stands for the estimation of a function submitted to a random translation of law in a white noise m…