Publications

 

                       A. Bar Hen, S. Gey, J.-M. Poggi
                       Spatial CART Classification Trees
                       Submitted, 2018

 

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

                       Self-similarity Analysis of Electrodermal Activity for Stress Level Characterization

                       Submitted, 16 pages, 2018

 

                       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, to appear, 2018

 

                       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, to appear, 2018 (link)

 

                       J. Cugliari, J.-M. Poggi

                       Electricity demand forecasting

                       Wiley StatsRef-Statistics Reference Online, to appear, 7 pages, 2018

 

                       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

 

                       R. Genuer, J.-M. Poggi

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

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

 

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

                       Clustering Electricity Consumers using High Dimensional Regression Mixture Models

                       Submitted,  23 pages, 2016 (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)

 

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

                        Mixture of experts for sequential PM10 forecasting in Normandy (France)

                       Proceedings GRASPA 2015, Bari 15-16, June 2015, 4 pages, 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 Société Française de Statistique, 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, No. 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, No. 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)

 

F. Mhamdi, M. Jaidane, J.-M. Poggi

Empirical Mode Decomposition for Trend Extraction. Application to Electrical Data

Proceedings of the SIS 2010, 45th Meeting of the Italian Stat. Soc., Padua (Italy), June 16-18, 2010

 

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