22 citations · 30 across the 16 of their papers we have counts for
18 papers
Minimax prediction in the Functional Autoregressive Model
André Mas, Angelina Roche
The Functional Autoregressive Model (FAR) generalizes the multivariate AR(1) model in Time Series Analysis to functional data. It serves as a historical foundational point in the s…
THE ROLE OF FOURIER ANALYSIS IN TWO DIMENSIONAL TOMOGRAPHY
Andre Mas, Fatma Terzioglu, Ilse C. F. Ipsen
We highlight the important role of the Fourier transform in deriving inversion formulas for the integral transforms of tomographic imaging. We demonstrate this principle by derivin…
Prediction of Hilbertian autoregressive processes : a Recurrent Neural Network approach
Cl\'{e]ment Carré, André Mas
The autoregressive Hilbertian model (ARH) was introduced in the early 90's by Denis Bosq. It was the subject of a vast literature and gave birth to numerous extensions. The model g…
Evaluation of mineralogy per geological layers by Approximate Bayesian Computation
Vianney Bruned, Alice Cleynen, André Mas +1
We propose a new methodology to perform mineralogic inversion from wellbore logs based on a Bayesian linear regression model. Our method essentially relies on three steps. The firs…
Weak convergence of particle swarm optimization
Vianney Bruned, André Mas, Sylvain Wlodarczyk
Particle swarm optimization algorithm is a stochastic meta-heuristic solving global optimization problems appreciated for its efficacity and simplicity. It consists in a swarm of p…
Non-asymptotic Adaptive Prediction in Functional Linear Models
Elodie Brunel, André Mas, Angelina Roche
Functional linear regression has recently attracted considerable interest. Many works focus on asymptotic inference. In this paper we consider in a non asymptotic framework a simpl…