List of publications on HAL: <link>.
Articles in journals with reviewing committee
A. Rolland, JB. Aubin, I. Gannaz, S. Leoni (2024). Probabilistic models of profiles for voting by evaluation. Social Choice and Welfare, Vol 63, pp 377-400. <link> (prebublication)
S. Achard, I. Gannaz (2024). Local Whittle estimation with (quasi-)analytic wavelets. Journal of Time Series Analysis, Vol 45, pp 421-443. <link> (prebublication)
I. Gannaz (2023). Asymptotic normality of wavelet covariances and of multivariate wavelet Whittle estimators. Stochastic Processes and their Applications, Vol 155, pp 485-534. <link> (prebublication)
M. Amovin-Assagba, I. Gannaz, J. Jacques (2022). Outlier detection in multivariate functional data through a contaminated mixture model. Computational Statistics and Data Analysis, Vol 174, pp. 107496. <link> (prépublication)
J.-B. Aubin, I. Gannaz, S. Leoni, A. Rolland (2022). Deepest Voting: a new way of electing. Mathematical Social Sciences, Vol 116, pp 1-16. <link> (prebublication)
S. Achard, M. Clausel, I. Gannaz, F. Roueff (2020). New results on approximate Hilbert pairs of wavelet filters with common factor structure. Applied and Computational Harmonic Analysis, Vol 49, N°3, pp 1025-1045. <link> (prebublication)
S. Achard, I. Gannaz (2019). Wavelet-based multivariate Whittle estimation, comparison with Fourier: multiwave. Journal of Statistical Software, Vol 69, N°6, pp 1-31. <link> [Software]
S. Achard, I. Gannaz (2016). Multivariate wavelet Whittle estimation in long-range dependence. Journal of Time Series Analysis, Vol 37, pp 476-512. <link> (prebublication)
I. Gannaz (2013). Wavelet penalized likelihood estimation in generalized functional models. TEST, Vol 22, N°1, pp 122-158. <link> (prebublication)
I. Gannaz, O. Wintenberger (2010). Adaptive density estimation under weak dependence. ESAIM: Probability and Statistics, Vol 14, pp 151-172. <link> (prebublication)
I. Gannaz (2007). Robust estimation and wavelet thresholding in partially linear models. Statistics and Computing, Vol 17, N° 4, pp 293-310. <link> (prépublication)
International conference proceedings and book chapters
S. Achard, P. Borgnat, I. Gannaz, M. Roux (2019). Wavelet-based graph inference using multiple testing. In Wavelets and Sparsity XVIII (Vol. 11138, p. 1113811). International Society for Optics and Photonics. <link> (prepublication)
I. Gannaz, S. Achard, M. Clausel, F. Roueff (2017). Analytic wavelets for multivariate time series analysis. In Wavelets and Sparsity XVII (Vol. 10394, p. 103941X). International Society for Optics and Photonics. <link> (prepublication)
S. Achard, I. Gannaz (2018). Wavelet Whittle Estimation in Multivariate Time Series Models: Application to fMRI Data. In: Bertail P., Blanke D., Cornillon PA., Matzner-Løber E. (eds) Nonparametric Statistics. ISNPS 2016. Springer Proceedings in Mathematics & Statistics, vol 250. Springer, Cham.
I. Gannaz (2014). Classification of EEG recordings in auditory brain activity via a logistic functional linear regression model. Contributions in infinite-dimensional statistics and related topics, International Workshop on Functional and Operatorial Statistics. <link> (prepublication)
National conference proceedings (in french)
L. Castelli, I. Gannaz, C. Marteau (2024). A non asymptotic analysis of the first component PLS regression. 55èmes Journées de Statistique de la Société Française de Statistique. <link>
S. Achard, I. Gannaz, K. Polisano (2022). Génération de modèles graphiques. In GRETSI 2022. <link>
M. Amovin-Assagba, I. Gannaz, J. Jacques (2022). Clustering et détection d’anomalies dans les données fonctionnelles. 53èmes Journées de Statistique de la Société Française de Statistique. <link>
J.B. Aubin, I. Gannaz, S. Leoni, A. Rolland (2022). Votes par évaluation avec des fonctions de profondeur. 53èmes Journées de Statistique de la Société Française de Statistique. <link>
M. Amovin-Assagba, J. Jacques, I. Gannaz, F. Fossi, J. Mozul (2020). Détection d’anomalies dans des données fonctionnelles multivariées. 52èmes Journées de Statistiques de la SFdS. <link>
I. Gannaz, S. Achard, M. Clausel, F. Roueff (2017). Ondelettes analytiques, application à l’analyse des processus multivariés à longue mémoire. In GRETSI 2017.<link>
F. Millioz, I. Gannaz (2017). Estimation des paramètres d’un bruit gaussien généralisé basée sur le kurtosis des statistiques minimales. In GRETSI 2017. <link>
I. Gannaz (2012). Estimation par ondelettes dans des modèles fonctionnels généralisés. 44èmes Journées de Statistique de la SFDS.
Industrial Patent
F. Fossi, M. Amovin-Assagba, J. Jacques, I. Gannaz (2024). Procédé et dispositif de pesée notamment pour la pesée de véhicules montés sur roues. France, Patent n° FR3143115.<link>
Habilitation thesis (accreditation to supervise research)
Structure recovery from time dependent data. 2023, INSA Lyon – Université Lyon 1. <link>
Ph-Dissertation
Estimation par ondelettes dans les modèles partiellement linéaires. 2007, Université Joseph Fourier, Grenoble (in french). <link>
Software
I. Gannaz and M. Roux (2019), R-package TestCor: FWER and FDR controlling procedures for multiple correlation tests.
Associated publication: Roux, M. (2018). Graph inference by multiple testing with application to Neuroimaging, Ph.D., Université Grenoble Alpes, France. <link>.
S. Achard and I. Gannaz (2016), R-package multiwave: estimation of
multivariate long-memory models parameters.
Associated publication: S. Achard, I. Gannaz (2019). Wavelet-based multivariate Whittle estimation, comparison with Fourier: multiwave. Journal of Statistical Software, Vol 69, N°6, pp 1-31. <link>
