research
∙
12/02/2022
Off-the-grid prediction and testing for mixtures of translated features
We consider a model where a signal (discrete or continuous) is observed ...
share
research
∙
10/27/2022
Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary
In this paper we observe a set, possibly a continuum, of signals corrupt...
research
∙
10/11/2022
Reparameterization of extreme value framework for improved Bayesian workflow
Combining extreme value theory with Bayesian methods offers several adva...
research
∙
09/17/2022
Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process
Piecewise deterministic Markov processes (PDMPs) can be used to model co...
research
∙
06/29/2022
Off-the-grid learning of sparse mixtures from a continuous dictionary
We consider a general non-linear model where the signal is a finite mixt...
research
∙
05/13/2022
