Publications

           

M. Bobbia, J.-M. Poggi, B. Portier

                        Spatial correction of low-cost sensors observations for statistical

                        fusion of heterogeneous air quality measurements

                        Appl Stochastic Models Bus Ind., 1-21, 2022 (link)

 

                        B. Goehry, H. Yan, Y. Goude, P. Massart, J.-M. Poggi

                        Random Forests for Time Series

                        REVSTAT, 1-21, 2021 (pdf)

                    

                        A. Bar Hen, S. Gey, J.-M. Poggi
                        Spatial CART Classification Trees
                        Computational Statistics, 36, 2591–2613 2021 (
link)

 

                        A. Antoniadis, S. Lambert-Lacroix, J.-M. Poggi

                        Random Forests for Global Sensitivity Analysis: a selective review

                        Reliability Engineering & System Safety, 1-14, vol. 206, 2021 (link)

 

                        Y. Amara-Ouali, Y. Goude, P. Massart, J.-M. Poggi, H. Yan

                        A review of electric vehicle load open data and models

                        Energies, 14(8), 2233, 1-35, 2021, (link)

 

                        M. Bourel, J. Cugliari, Y. Goude, J.-M. Poggi

Generating experts by boosting diversity

Proceedings 63rd ISI World Statistics Congress, 11-16 July 2021, 1-6 (pdf)

 

                        M. Bourel, J. Cugliari, Y. Goude, J.-M. Poggi

                        Boosting Diversity in Regression Ensembles

                        Submitted, 1-11, 2020, (link)

 

                        R. Genuer, J.-M. Poggi

                        Random Forests with R

                        98 p., Use’R!, Springer, 2020 (link)

 

                        E. Devijver, Y. Goude, J-M. Poggi

                        Clustering Electricity Consumers using High Dimensional Regression

                        Mixture Models

                        Appl Stochastic Models Bus Ind. 36, 159-177, 2020 (link)

 

                        B. Goehry, Y. Goude, P. Massart, J-M. Poggi

                        Aggregation of Multi-scale Experts for Bottom-up Load Forecasting

                        IEEE Transactions on Smart Grid, vol. 11, 3, 1895-1904, 2020 (link)

 

                        N. El Haouij, R. Ghozi, J-M. Poggi, S. Sevestre Ghalila, M. Jaïdane

                        Self-similarity Analysis of Electrodermal Activity for Stress Level Characterization

                        Quality and Reliability Engineering International, 35, 1502-1513, 2019 (link)

 

                        R. Genuer, J.-M. Poggi

                        Les forêts aléatoires avec R

                        Editions PUR, coll. Pratique de la statistique, 112 pages, 2019 (link) (site)

 

                        B. Auder, J. Cugliari, Y. Goude, J-M. Poggi

                        Scalable Clustering of Individual Electrical Curves for Profiling and Bottom-up Forecasting

                        Energies, 2018, 11, 1893 (pdf)

 

                        B. Auder, J. Cugliari, Y. Goude, J-M. Poggi

                        R package iecclust for Individual Electricity Customers data Clustering

                        Available on github (link)

 

                        R. Genuer, J.-M. Poggi

                        Arbres CART et Forêts aléatoires, Importance et sélection de variables.

                        In Apprentissage Statistique et Données Massives, Maumy-Bertrand M.,

                        Saporta G. et Thomas Agnan C. (eds), Technip, p. 295-342, 2018 (link)

 

                        N. El Haouij, J.-M. Poggi, R. Ghozi, S. Sevestre Ghalila, M. Jaïdane

                        Random Forest-Based Approach for Physiological Functional Variable

                        Selection for Driver's Stress Level Classification

                        Statistical Methods & Applications, 1-29, 2018 (link)

 

                        J. Cugliari, J.-M. Poggi

                        Electricity demand forecasting

                        Wiley StatsRef-Statistics Reference Online, 8 pages, 2018 (link)

 

                        R. Genuer, J-M. Poggi, C. Tuleau-Malot, N. Villa-Vialaneix

                        Random Forests for Big Data

                        Big Data Research, 9, 2017, 28-46 (pdf) (link)

 

                        N. El Haouij, J.-M. Poggi, R. Ghozi, S. Sevestre Ghalila, M. Jaïdane

                        AffectiveROAD System and Database to Assess Driver’s Arousal State

                        Proc. of the 33rd ACM Symposium on Applied Computing, SAC’18,

                        April 9–13, 2018, Pau, France, 802-805 (link)

 

                        R. Genuer, J.-M. Poggi

                        Arbres CART et Forêts aléatoires, Importance et sélection de variables.

                        45 pages, oct. 2016, arXiv:1610.08203 (pdf)

 

                        A. Antoniadis, I. Gijbels, S. Lambert-Lacroix, J-M. Poggi

                        Joint estimation and variable selection for mean and dispersion in proper

                        dispersion models

                        Electronic Journal of Statistics, Vol. 10, No. 1, 1630-1676, 2016 (link)

                       

                        A. Bar-Hen, J-M. Poggi

                        Influence Measures and Stability for Graphical Models

                        Journal of Multivariate Analysis, Vol. 47, 145-154, 2016 (link)

                       

A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi

A prediction interval for a function-valued forecast model. Application to load forecasting.

                        International Journal on Forecasting, 32(3), 939-947, 2016 (link)

 

                        J. Cugliari, Y. Goude, J-M. Poggi

                        Disaggregated Electricity Forecasting using Wavelet-Based Clustering of Individual Consumers.

                        Proceedings IEEE EnergyCon 2016, KU Leuven, 4-8 April 2016,

                        6 pages, 2016 (link)

 

                        V. Thouvenot, A. Pichavant, A. Antoniadis, Y. Goude, J-M. Poggi

                        Electricity Forecasting using Multi-stage Estimators of Nonlinear Additive Models

                        IEEE Transactions on Power Systems, 31(5), 3665-3673, 2016 (link)

 

                        B. Auder, M. Bobbia, J-M. Poggi, B. Portier

                        Sequential Aggregation of Heterogeneous Experts for PM10 Forecasting

                        Atmospheric Pollution Research, 7, 1101-1109, 2016 (link)

 

                        J-M. Poggi, C. Bouveyron, G. Hébrail, F-X. Jollois

                        Un DU d’Analyste Big Data en formation continue courte, au niveau L3

                        Statistique et Enseignement, 7(1), 127-134, 2016 (link)

 

                        A. Antoniadis, X. Brossat, Y. Goude, J-M. Poggi, V. Thouvenot

                        Automatic component selection in additive modeling of French national

                        electricity load forecasting

                        In Nonparametric Statistics,191-209, Vol. 175, Springer Proceedings in

                        Mathematics & Statistics, 2016 (link)

 

                        R. Genuer, J.-M. Poggi, C. Tuleau-Malot

                        VSURF: Variable Selection Using Random Forests

                        The R Journal Vol. 7/2, 19-33, 2015 (pdf)

 

                        A. Antoniadis, J-M. Poggi

                        Discussion of "Analysis of Spatio-Temporal Mobile Phone Data: a Case

                        Study in the Metropolitan Area of Milan"

                        Statistical Methods & Applications, 1-6, 2015 (link)

 

                        A. Antoniadis, Y. Goude, J-M. Poggi, V. Thouvenot

                        Sélection de variables dans les modèles additifs avec des estimateurs

                        en plusieurs étapes

                        Technical report, HAL, hal-01116100, February 2015 (pdf)

 

A. Antoniadis, J-M. Poggi, X. Brossat (Eds.)

Preface to « Modeling and Stochastic Learning for Forecasting in High Dimensions »

Lecture Notes in Statistics, Vol. 217, 2015 (link)

 

S. Gey, J.-M. Poggi

Discussion of Parallel Construction of Decision Trees with Consistently

Non-Increasing Expected Number of Tests

Applied Stochastic Models in Business and Industry, Vol. 31(1), 2015, 79–80, (pdf)

 

                        A. Bar Hen, S. Gey, J.-M. Poggi

                        Influence measures for CART Classification Trees

                        Journal of Classification, 32(1), 21-45, 2015 (link)

 

M. Misiti, Y. Misiti, J.M. Poggi, B. Portier

Mixture of linear regression models for short term PM10 forecasting in Haute Normandie (France)

CS-BIGS, 6(1) 47-60, 2015 (link)

 

M. Bobbia, M. Misiti, Y. Misiti, J.M. Poggi, B. Portier

                        Spatial outlier detection in the PM10 monitoring network of Normandy (France)

                        Atmospheric Pollution Research, 6, 476-483, 2015 (pdf)

           

                        A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi

                        Une approche fonctionnelle pour la prévision non-paramétrique de la consommation d'électricité

                        Journal de la SFdS, Vol. 155, No 2, 202-219, 2014 (pdf)

 

                        J.-M. Poggi, R. S. Kenett, A. Pasanisi (Guest Editors)

                        Editorial of the Special Issue on 2014 ENBIS-SFdS Spring Meeting

                        "Graphical Causality Models: Trees, Bayesian Networks and Big Data"

                        Quality Technology & Quantitative Management, Vol. 11, 1, 1-2, 2014 (pdf)

 

                        R. Genuer, J.-M. Poggi, C. Tuleau-Malot

                        VSURF: Variable Selection Using Random Forests

                        R package, first version published may 2013 (link)

 

J.-M. Poggi

Edito

Statistique et société, Vol. 1, No. 1, p. 5, mai 2013 (pdf)

 

                        A. Bar Hen, S. Gey, J.-M. Poggi

                        Influence measures for CART Classification Trees

                        Proceedings 59th ISI World Statistics Congress, 25-30 August 2013,

                        Hong Kong, 2132-2137, 2013 (pdf)

 

A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi

Functional Clustering using Wavelets

International Journal of Wavelets, Multiresolution and Information Processing, 

Vol. 11, No. 1, 1350003 (30 pages), 2013 (link)

 

A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi

Prévision d'un processus à valeurs fonctionnelles en présence de non stationnarités. Application à la consommation d'électricité

Journal de la Société Française de Statistique, Vol. 153, 2, 52-78, 2012 (pdf)

 

F. Mhamdi, J.-M. Poggi, M. Jaidane
Forecasting time series through reconstructed multiple seasonal patterns using
Empirical Mode Decomposition

Proceedings of the 20th International Conference on Computational Statistics

COMPSTAT2012, 11 pages, Limassol, Cyprus, 27-31 August 2012

 

M. Aminghafari, J.-M. Poggi 

Nonstationary Time Series Forecasting Using Wavelets and Kernel Smoothing

Communications in Statistics - Theory and Methods, 41:3, 485-499, 2012 (link)

  

J.-M. Poggi, B. Portier

PM10 forecasting using clusterwise regression

Atmospheric Environment, 45(38), 7005-7014, 2011 (link)

 

F. Mhamdi, J.-M. Poggi, M. Jaidane

Trend Extraction for Seasonal Time Series using Ensemble Empirical Mode Decomposition

Advances in Adaptive Data Analysis (AADA), 3(3), 363-383, 2011 (link)

 

M. Bobbia, F.-X. Jollois, J.-M. Poggi, B. Portier

Quantifying local and background contributions to PM10 concentrations in Haute-Normandie, using random forests

Environmetrics, 22, 758-768, 2011 (link)

  

R. Genuer, J.-M. Poggi, C. Tuleau

Variable selection using Random Forests

Pattern Recognition Letters, 31(14), p. 2225-2236, 2010 (link)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Optimized Clusters for Disaggregated Electricity Load Forecasting

REVSTAT – Statistical Journal, 8(2), 105–124, 2010 (pdf)

  

A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi

Functional Clustering using Wavelets

Proceedings of the 19th COMPSTAT, Paris august 22-27, p. 697-704, 2010

 

F. Mhamdi, M. Jaidane, J.-M. Poggi

Empirical Mode Decomposition for Trend Extraction. Application to Electrical Data

Proceedings of the 19th COMPSTAT, Paris august 22-27, p. 1391-1398, 2010 (pdf)

 

A. Antoniadis, I. Gijbels, J.-M. Poggi

Smoothing non equispaced heavy noisy data with wavelets

Statistica Sinica, 2009, Volume 19, Number 4, 19, 1371-1387, 2009 (pdf)

 

F.-X. Jollois, J.-M. Poggi, B. Portier

Three non-linear statistical methods to analyze PM10 pollution in Rouen area

CSBIGS 3(1): 1-17, 2009 (pdf)

 

N. Chèze, J.M. Poggi

Détection de données aberrantes en régression

Revue des Nouvelles Technologies de l’Information (RNTI), Cépaduès, 159-171, 2008 (pdf)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Optimized Clusters for Disaggregated Electricity Load Forecasting

Proceedings COMPSTAT 2008, Porto, Portugal, Physica Verlag, 225-232, 2008

 

R. Genuer, J.-M. Poggi, C. Tuleau

Random Forests: some methodological insights

Preprint INRIA, 2008 (pdf)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Wavelets and their applications

ISTE Publishing Knowledge, 352 p., june 2007 (link)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Matlab Wavelet Toolbox (Version 4.0): Tutorial and Reference Guide

The Mathworks, Natick, USA, janv 2007

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Clustering signals using wavelets

Lecture Notes in Computer Science, 4507,

F. Sandoval et al. (Eds.): IWANN 2007, 514-521, Springer, 2007 (link)

 

J.M. Poggi, C. Tuleau

Classification of objectivization data using CART and wavelets,

Proceedings of the IASC 07, Aveiro, Portugal, paper 18, 1-8, 2007

 

M. Amin Ghafari, J.M. Poggi

Forecasting time series using wavelets

International Journal of Wavelets, Multiresolution and Information

Processing, vol. 5(5), 709-724, 2007 (link)

 

N. Chèze, J.M. Poggi

Outlier detection by boosting regression trees

Journal of Statistical Research of Iran (JSRI), 3, 1-21, 2006 (pdf)

 

S. Gey, J.M. Poggi

Boosting and Instability for regression trees

Computational Statistics and Data Analysis, 50, 533-550, 2006 (link)

           

N. Cheze, J.M. Poggi

Outlier detection by iterated boosting

Proceedings of the IFCS’06, Ljubljana, July 24-28, Data Science and Classification,

Springer, 213-221, 2006 (link)

 

J.M. Poggi, C. Tuleau

Classification supervisée en grande dimension. Application à l’agrément de conduite automobile

Revue de Statistique Appliquée, LIV (4), 39-58, 2006 (pdf)

 

M. Amin Ghafari, N. Chèze, J.M. Poggi

Multivariate denoising using wavelets and principal components

Computational Statistics & Data Analysis 50, 2381- 2398, 2006 (link)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Matlab Wavelet Toolbox (Version 3.0): Tutorial and Reference Guide

The Mathworks, Natick, USA, juin 2004

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Les ondelettes et leurs applications

Hermès, 336 p., février 2003

 

N. Chèze, J.M. Poggi, B. Portier

Partial and recombined estimators for nonlinear additive models

Statistical Inference for Stochastic Processes, vol. 6, 2, p. 155-197, 2003 (link)

 

L. Bel, G. Oppenheim, J.M. Poggi, B. Portier, R. Vautard

Statistical forecasting of ozone peaks over Paris area with a nonlinear

additive model. Impact of imported ozone

Proceedings of the 10th International Conference on «Applied Stochastic Models and Data Analysis»

166-171, Compiègne, June 12-15, 2001

 

J.M. Poggi, B. Portier

Asymptotic local test for linearity in adaptive control

Statistics and Probability Letters, vol. 55, 1, 9-18, 2001 (link)

 

N. Chèze, J.M. Poggi, B. Portier

Partial estimators for nonlinear additive models: Motivation, Illustration and Case Study

Prépublication 2001-74, Orsay, 20 p., 2001 (link)

 

N. Chèze, J.M. Poggi, B. Portier

Partial estimators for nonlinear additive models: Multivariate Central Limit Theorem and

Test for Partial Additivity

Prépublication 2001-75, Orsay, 18 p., 2001

 

J.M. Poggi, B. Portier

Nonlinear adaptive tracking using kernel estimators: estimation and test for linearity

SIAM Journal in Control and Optimization, vol. 39, 707-727, 2000 (link)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Matlab Wavelet Toolbox (Version 2.0): Tutorial and Reference Guide, 520 p.+ 400p.

The Mathworks, Natick, USA, nov. 2000

 

L. Bel, L. Bellanger, V. Bonneau, G. Ciuperca, D. Dacunha-Castelle, C. Deniau,

B. Ghattas, M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi, R. Tomassonne

Comparaison de prévisions de pics de pollution

Revue de Statistique Appliquée, vol. XLVII (3), 7-25, 1999 (pdf)

 

J.M. Poggi, M.C. Viano

An estimate of the fractal index using multiscale aggregates

Journal of Time Series Analysis, vol. 19, 2, 221-233, 1998 (link)

 

J.M. Poggi, B. Portier

Testing linearity for NARX models

European Journal of Control, vol. 4, 298-305, 1998 (link)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Méthodes d'ondelettes en statistique : introduction et exemples

Journal de la Société Française de Statistique, tome 139, n°4, 3-29, 1998 (pdf)

 

N. Chèze-Payaud, J.M. Poggi, B. Portier

Estimation and test of linearity for a class of additive nonlinear Models

Statistics and Probability Letters, 40, 189-201, 1998 (link)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Matlab Wavelet Toolbox (Version 1.0): Tutorial and Reference Guide, 600 p.

The Mathworks, Natick, USA, mars 1996

 

J.M. Poggi, B. Portier

A test of linearity for functional autoregressive models

Journal of Time Series Analysis, vol. 18, 6, 615-639, 1997 (link)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Micronde: a Matlab Wavelet Toolbox for Signals and Images

Lecture Notes in Statistics, 103, Wavelets and Statistics, Springer Verlag, 239-260, 1995 (pdf)

 

J.M. Poggi, B. Portier

Un test de linéarité pour les modèles autorégressifs fonctionnels

C.R.A.S., t. 321, Ser. 1, 113-116, 1995

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Décomposition par ondelettes et méthodes comparatives : étude d'une courbe de charge électrique

Revue de Statistique Appliquée, vol. XLII (2), 57-77, 1994 (pdf)

 

J.M. Poggi

Prévision non paramétrique de la consommation électrique

Revue de Statistique Appliquée, vol. XLII (4), 83-98, 1994 (pdf)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Analyse de signaux classiques par décomposition en ondelettes

Revue de Statistique Appliquée, vol. XLI (4), 5-32, 1993 (pdf)

 

M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi

Ondelettes en statistique et traitement du signal

Revue de Statistique Appliquée, vol. XLI (4), 33-43, 1993 (pdf)

 

Y. Misiti, G. Oppenheim, J.M. Poggi

Représentation des connaissances dans les systèmes à base de règles et d'objets pour la Statistique

Revue de Statistique Appliquée, vol. XXXX (2), 99-106, 1992 (pdf)

 

Y. Misiti, J.M. Poggi

GEPETTO: An expert system for Computer Aided Control System Design

Actes de la Conférence Européenne d'Automatique ECC'91, 2226-2231, Grenoble, 2-5 juillet 1991, Hermès

 

R. Astier, Y. Misiti, G. Oppenheim, J.M. Poggi

C.A.O. et système expert en automatique: les phases d'amélioration

dans la conception d'une loi de commande

Actes du congrès européen EUROPIA 88, 431-445, Paris, 28-29 nov. 1988,

Editions Hermès, nov. 1988

 

Y. Misiti, J.M. Poggi, R. Astier, J. Dupont, G. Oppenheim, F.Y. Villemin

Système expert en conception de lois de pilotage

Actes des 7èmes Journées Internationales d'Avignon : Systèmes Experts et Applications, 1053-1075, juin 1987