Bruno Portier - researchr alias

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Viewing Publication 1 - 11 from 11

2024

Recursive ridge regression using second-order stochastic algorithmsAntoine Godichon-Baggioni, Wei Lu, Bruno Portier. csda, 190:107854, February 2024. [doi]

2020

An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic RegressionsBernard Bercu, Antoine Godichon, Bruno Portier. siamco, 58(1):348-367, 2020. [doi]

2015

A Durbin-Watson serial correlation test for ARX processes via excited adaptive trackingBernard Bercu, Bruno Portier, Victor Vazquez. ijcon, 88(12):2611-2618, 2015. [doi]

2014

A New Spherical Mixture Model for Head Detection in Depth ImagesDenis Brazey, Bruno Portier. siamis, 7(4):2423-2447, 2014. [doi]

2008

Kernel density estimation in adaptive trackingBernard Bercu, Bruno Portier. cdc 2008: 3441-3445 [doi]

Kernel Density Estimation and Goodness-of-Fit Test in Adaptive TrackingBernard Bercu, Bruno Portier. siamco, 47(5):2440-2457, 2008. [doi]

2002

Adaptive control of parametric nonlinear autoregressive models via a new martingale approachBernard Bercu, Bruno Portier. tac, 47(9):1524-1528, 2002. [doi]

Adaptive control of discrete-time nonlinear systems combining nonparametric and parametric estimatorsBruno Portier. cominfsys, 2(1):69-90, 2002. [doi]

2000

Nonlinear Adaptive Tracking Using Kernel Estimators: Estimation and Test for LinearityJean-Michel Poggi, Bruno Portier. siamco, 39(3):707-727, 2000. [doi]

Nonparametric Estimation and Adaptive Control of Functional Autoregressive ModelsBruno Portier, Abderrahim Oulidi. siamco, 39(2):411-432, 2000. [doi]

1998

Testing Linearity for NARX ModelsJean-Michel Poggi, Bruno Portier. ejcon, 4(4):298-305, 1998. [doi]

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