Publications
B.
Auder, C. Coron, J.-.M. Poggi, E. Thulliez
Debiasing physico-chemical models in air
quality monitoring by
combining different pollutant concentration measures
Submitted, 1-15, 2023
Y. Amara-Ouali, Y. Goude, J.-M. Poggi
Modelling the intensity of Electric Vehicle arrivals at charging points
Transportation
Research Procedia, Proc. 8th International
Electric
Vehicle Conference (EVC 2023), 70 (2023) 372-379 (link)
C.
Gotwalt, R. Kenett, J.-M.
Poggi
A
journey in random forests and penalized regression in an industrial
classification problem: How to use models to
sharpen your questions
Quality
and Reliability Engineering International, 1-16, 2023 (link)
E.
Thulliez, M. Bobbia, J-M.
Poggi, B. Portier
Air
quality low-cost sensors and monitoring stations NO2 raw dataset
in Rouen (France)
Data
in Brief, Vol. 49, 109398, 1-8, 2023 (link)
B.
Goehry, H. Yan, Y. Goude,
P. Massart, J.-M. Poggi
Random
Forests for Time Series
REVSTAT-Statistical
Journal 21 (2), 283–302, 2023 (link)
A.
Antoniadis, J. Cugliari,
Y. Goude, M. Fasiolo,
J.-M. Poggi
Statistical Learning Tools for Electricity
Load Forecasting
To
appear in book series Statistics for Industry, Technology, and Engineering
Birkhäuser / Springer, 200 p. 2023
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., Volume 38(5), 766-786, 2022 (link)
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
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