5 citations · 11 across the 3 of their papers we have counts for
3 papers
math.ST2016★ 5 cited
On the Identifiability of Latent Models for Dependent Data
Stéphane Guerrier, Roberto Molinari
The condition of parameter identifiability is essential for the consistency of all estimators and is often challenging to prove. As a consequence, this condition is often assumed f…
stat.AP2016★ 4 cited
Fast and Robust Parametric Estimation for Time Series and Spatial Models
Stéphane Guerrier, Roberto Molinari
We present a new framework for robust estimation and inference on second-order stationary time series and random fields. This framework is based on the Generalized Method of Wavele…
stat.ME2016★ 2 cited
Wavelet Variance for Random Fields: an M-Estimation Framework
Stéphane Guerrier, Roberto Molinari
We present a general M-estimation framework for inference on the wavelet variance. This framework generalizes the results on the scale-wise properties of the standard estimator and…