output
20042026
most citedFurther Remarks on Strict Input-to-State Stable Lyapunov Functions for Time-Varying Systems

63 citations

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stat.ME2024

One-Bit Total Variation Denoising over Networks with Applications to Partially Observed Epidemics

Claire Donnat, Olga Klopp, Nicolas Verzelen

This paper introduces a novel approach for epidemic nowcasting and forecasting over networks using total variation (TV) denoising, a method inspired by classical signal processing…

stat.ME2022

Kalman filter with impulse noised outliers : A robust sequential algorithm to filter data with a large number of outliers

Bertrand Cloez, Bénédicte Fontez, Eliel González García +1

Impulsed noise outliers are data points that differs significantly from other observations.They are generally removed from the data set through local regression or Kalman filter al…

stat.ME2016

Bayesian functional linear regression with sparse step functions

Paul-Marie Grollemund, Christophe Abraham, Meïli Baragatti +1

The functional linear regression model is a common tool to determine the relationship between a scalar outcome and a functional predictor seen as a function of time. This paper foc…

stat.ME2009★ 1 cited

Strong uniform consistency and asymptotic normality of a kernel based error density estimator in functional autoregressive models

Nadine Hilgert, Bruno Portier

Estimating the innovation probability density is an important issue in any regression analysis. This paper focuses on functional autoregressive models. A residual-based kernel esti…