Institut supérieur des sciences agronomiques, agroalimentaires, horticoles et du paysage

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Articles publiés dans des revues avec comité de lecture

  1. Josse, J., Wager, S. & Husson, F. (2016). Confidence Areas for Fixed-Effects PCA. Journal of Computational and Graphical Statistics. vol. 25 num. 1. pp. 28-48
  2. Josse, J. & Husson, F. (2016). missMDA a package to handle missing values in principal component methods. Journal of Statistical Software. vol. 70 num. 1. pp.
  3. Audigier, V. Husson, F. Josse, J. (2016). A principal components method to impute missing values for mixed data. Advances in Data analysis and Classification. vol. 10 num. 1. pp. 5-26
  4. Lê M.T., Husson F. & Lê S. (2016). Digit-tracking: Interpreting the evolution over time of sensory dimensions of an individual product space issued from Napping® and sorted Napping. Food Quality and Preference. vol. 47 num. . pp. 73-78
  5. H. Fujii, J. Josse, M. Tanioka, Y. Miyachi, F. Husson, M. Ono (2016). Regulatory T Cells in Melanoma Revisited by a Computational Clustering of FOXP3+ T Cell Subpopulations. Journal of Immunology. vol. 196 num. 6. pp. 2884-2892
  6. F. Husson, J. Josse, G. Saporta (2016). Jan de Leeuw and the French School of Data Analysis. Journal of Statistical Software. vol. 73 num. 6. pp.
  7. Verbanck, M., Josse, J., Husson, F. (2015). Regularized PCA to denoise and visualize data. Statistics and Computing. vol. 25 num. 2. pp. 471-486
  8. Josse, J. & Sardy, S. (2015). Adaptive Shrinkage of singular values. Statistics and Computing. vol. num. . pp.
  9. Dray, S & Josse, J. (2015). Principal component analysis with missing values: a comparative survey of methods. Plant ecology. vol. num. . pp.
  10. Kostov, B., Bécue-Bertaut, M., Husson, F. (2015). Correspondence Analysis on Generalised Aggregated Lexical Tables (CA-GALT) in the FactoMineR Package. R Journal. vol. 7 num. 1. pp. 109-117
  11. Lechevalier V., Musikaphun N., Gillard A., Maryvonne Pasco M., Guérin-Dubiard C., Husson F. & Nau F. (2015). Effects of dry heating on the progression of in vitro digestion of egg white proteins: contribution of multifactorial data analysis. Food & function. vol. 6 num. 5. pp. 1578-1590
  12. Kostov, B., Bécue-Bertaut, M., Husson, F. (2014). An original methodology for the analysis and interpretation of word-count based methods: multiple factor analysis for contingency tables complemented by consensual words. Food Quality and Preference. vol. 32 num. . pp. 35-40
  13. Josse, J., van Eeuwijk, F., Piepho, H-P, Denis, J.B. (2014). Another look at Bayesian analysis of AMMI models for genotype-environment data. Journal of Agricultural, Biological, and Environmental Statistics. vol. 19 num. 2. pp. 240-257
  14. Gelein, B., Haziza, D. and Causeur, D. (2014). Preserving relationships between variables with MIVQUE based imputation for missing survey data. Journal of Multivariate Analysis. vol. 131 num. . pp. 197-208
  15. Nyemb, K., Jardin, J., Causeur, D., Guerin-Dubiard, C., Dupont, D., Rutherfurd, S.M. and Nau, F. (2014). Investigating the impact of ovalbumin aggregate morphology on in vitro ovalbumin digestion using label-free quantitative peptidomics and multivariate data analysis. Food Research International. vol. 63 num. . pp. 192-202
  16. Worch T., Crine A., Gruel A. & Lê S. (2014). Analysis and validation of the Ideal Profile Method: Application to a skin cream study. Food Quality and Preference. vol. 32 num. 0. pp. 132-144
  17. Guelinckx I., Husson F., Perrier E., Kemgang S., Klein A., Julie Josse J. (2014). Different fluid intake patterns across the week can be identified in German adults . The FASEB Journal. vol. 28 num. 1. pp. LB378
  18. Cadoret, M. & Husson, F. (2013). Construction and evaluation of confidence ellipses applied at sensory data. Food Quality and Preference. vol. 28 num. 1. pp. 26-115
  19. François Husson & Jérôme Pagès (2013). Les vins de Loire du cépage Chenin ont-ils un goût identifiable ?. Statistique et société. vol. 1 num. 1. pp. 29-34
  20. Pagès J., Berthelo S., Brossier M. and D. Gourret (2013). Statistical penalty analysis.. Food Quality and Preferences. vol. num. . pp.
  21. Husson, F. & Josse, J. (2013). Handling missing values in Multiple Factor Analysis. Food Quality and Preference. vol. 30 num. 1. pp. 77-85
  22. Kostov, B., Bécue-Bertaut, M., Husson, F. (2013). Multiple Factor Analysis for Contingency Tables in FactoMineR Package. R Journal. vol. 5 num. . pp. 28-38
  23. Josse, J. & Timmerman, M.E. & Kiers, H.A.L. (2013). Missing values in multi-level simultaneous component analysis. Chemometrics and Intelligent Laboratory Systems. vol. 129 num. . pp. 21-32
  24. M. Emily, A Talvas & C. Delamarche (2013). MetAmyl: a METa-predictor for AMYLoid proteins. PLoS One. vol. 8 num. 11. pp. e79722
  25. Verbanck, M.,, Lê, S. & Pagès J. (2013). A new unsupervised gene clustering algorithm based on the integration of biological knowledge into expression data. BMC Bioinformatics. vol. 14 num. 1. pp.
  26. Josse, J., Chavent, M., Liquet, B. & Husson, F. (2012). Handling missing values with Regularized Iterative Multiple Correspondence Analysis.. Journal of classification. vol. 29 num. 1. pp. 91-116
  27. Worch, T., Lê, S., Punter, P., & Pagès, J. (2012). Assessment of the consistency of ideal profiles according to non-ideal data for IPM.. Food Quality and Preference. vol. 24 num. 1. pp. 99-110
  28. Worch, T., Lê, S., Punter, P., & Pagès, J. (2012). Extension of the consistency of the data obtained with the Ideal Profile Method: Would the ideal product be more liked than the tested products?. Food Quality and Preference. vol. 26 num. 1. pp. 74-80
  29. Worch, T., Lê, S., Punter, P., & Pagès, J. (2012). Construction of an Ideal Map (IdMap) based on the ideal profiles obtained directly from consumers. Food Quality and Preference. vol. 26 num. 1. pp. 93-104
  30. Worch, T., Lê, S., Punter, P., & Pagès, J. (2012). Ideal Profile Method (IPM): the ins and outs. Food Quality and Preference. vol. num. . pp.
  31. Josse, J. & Husson, F. (2012). Handling missing values in exploratory multivariate data analysis methods. Journal de la SFdS. vol. 153 num. 2. pp. 77-99
  32. Causeur, D., Chu, M.-C., Hsieh, S. and Sheu, C.-F. (2012). A factor-adjusted multiple testing procedure for ERP data analysis. Behavior Research Methods. vol. 44 num. . pp. 635-643
  33. M. Emily (2012). IndOR: a new statistical procedure to test for SNP-SNP epistasis in genome-wide association studies. Statistics in Medicine. vol. 31 num. 21. pp. 2359-2373
  34. Mach, N., Blum, Y., Bannink, A., Causeur, D. & Houée-Bigot, M., Lagarrigue, S. & Smits, M.-A. (2012). Pleiotropic effects of polymorphism of the gene diacylglycerol-O-transferase 1 (DGAT1) in the mammary gland tissue of dairy cows. Journal of Dairy Science. vol. 95 num. 9. pp. 4989 - 5000
  35. Josse, J. & Husson, F. (2011). Selecting the number of components in PCA using cross-validation approximations. Computational Statististics and Data Analysis.. vol. 56 num. 6. pp. 1869-1879
  36. Josse, J., Husson, F., & Pagès, J. (2011). Multiple Imputation in PCA. Advances in data analysis and classification.. vol. 5 num. 3. pp. 231-246
  37. Cadoret, M., Lê, S. & Pagès J. (2011). Statistical analysis of hierarchical sorting data. Journal of sensory studies. vol. 26 num. 2. pp. 96-105
  38. Friguet, C. and Causeur, D. (2011). Estimation of the proportion of true null hypotheses in high-dimensional data under dependence. Computational Statistics and Data Analysis. vol. 55 num. . pp. 2665-2676
  39. Causeur, D., Friguet, C., Houée-Bigot, M. and Kloareg, M. (2011). Factor Analysis for Multiple Testing (FAMT): An R package for Large-Scale Significance Testing Under Dependence. Journal of Statistical Software. vol. 40 num. 14. pp. 1-19
  40. Blum, Y., Le Mignon, G., Causeur, D., Filangi, O. Désert, C. Demeure, O. Le Roy, P. and Lagarrigue, S. (2011). Complex trait subtypes identification using transcriptome profiling reveals an interaction between two QTL affecting adiposity in chicken. BMC Genomics. vol. 12 num. 567. pp.
  41. Bécue-Bertaut, M. & Lê, S. (2011). Analysis of multilingual labeled sorting tasks : application to a cross-cultural study in wine industry. Journal of Sensory Studies. vol. 26 num. 5. pp. 299-310
  42. Brun-Lafleur L, Delaby L, Husson F, Faverdin P. (2010). Predicting energy x protein interaction on milk yield and milk composition in dairy cows.. Journal of Dairy Sciences. vol. 93 num. 9. pp. 4128-43
  43. M. Causse, C. Friguet, C. Coiret, M. Lépicier, B. Navez, M. Lee, N. Holthuysen, F. Sinesio, E. Moneta, S. Grandillo (2010). Consumer Preferences for Fresh Tomato at the European Scale: A Common Segmentation on Taste and Firmness. Journal of Food Science. vol. 75 num. 9. pp. S531–S541
  44. Pagès, J., Cadoret, M., & Lê, S. (2010). The Sorted Napping: a new holistic approach in sensory evaluation. Journal of Sensory Studies . vol. 25 num. 5. pp. 637-658
  45. Blum, Y., Le Mignon, G., Lagarrigue, S. and Causeur, D. (2010). A factor model to analyse heterogeneity in gene expressions.. BMC Bioinformatics. vol. 11 num. 368. pp.
  46. Caffier V., Didelot F., Pumo B., Causeur D. and Parisi L. (2010). Aggressiveness on a susceptible apple cultivar of eight Venturia inaequalis isolates virulent or avirulent towards the major resistance gene Vf. Plant Pathology. vol. 59 num. 6. pp. 1072-1080
  47. Worch, T., Lê, S., & Punter, P. (2010). How reliable are the consumers? Comparison of sensory profiles from consumers and experts.. Food Quality and Preference. vol. num. 21. pp. 309-318
  48. Ledauphin-Menard, S., Lê, S. (2010). Typologie des consommateurs et mesure de loyaute/. La Revue MODULAD. vol. num. 42. pp.
  49. Lê, S. & Pagès, J. (2010). DMFA: Dual Multiple Factor Analysis.. Communication in Statistics - Theory and Methods. vol. 3 num. 39. pp. 483-492
  50. de Tayrac M., Lê S., Aubry M., Mosser J., Husson F. (2009). Simultaneous analysis of distinct Omics data sets with integration of biological knowledge: Multiple Factor Analysis approach.. BMC Genomics. vol. 10 num. . pp.
  51. Kloareg M. & Causeur D. (2009). Double sampling designs to reduce the non-discovery rate. Application to microarray data.. Journal of Data Science. vol. 7 num. 2. pp. 219-234
  52. Perrin L. & Pagès J. (2009). Construction of a product space from the Ultra-flash profiling method: application to ten red wines from the Loire Valley.. Journal of Sensory Studies. vol. 24 num. 3. pp. 372-395
  53. Cadoret, M., Lê, S. & Pagès, J. (2009). A Factorial Approach for Sorting Task data (FAST). Food Quality and Preference. vol. 20 num. . pp. 410-417
  54. Ablain, W., Hallier Soulier, S., Causeur, D., Gautier, M. & Baron, F. (2009). A simple and rapid method for the disruption of Staphylococcus aureus, optimized for quantitative reverse transcriptase applications: Application for the examination of Camembert cheese.. Dairy Science and Technology.. vol. 89 num. 1. pp. 69
  55. Perrin L. & Pagès J. (2009). A methodology for the analysis of sensory typicality judgments.. Journal of Sensory Studies. vol. 24 num. 5. pp. 749-773
  56. Josse, J., Husson, F., & Pagès, J. (2009). Gestion des données manquantes en Analyse en composantes principales. Journal de la SFdS. vol. 150 num. 2. pp. 28-51
  57. Friguet, C., Kloareg, M. & Causeur, D. (2009). A factor model approach to multiple testing under dependence. Journal of the American Statistical Association. vol. 104 num. 488. pp. 1406-1415
  58. Causeur, D., Kloareg, M. and Friguet, C. (2009). Control of the FWER in multiple testing under dependence.. Communications in Statistics - Theory and Methods.. vol. 38 num. 16 & 17. pp. 2733-2747
  59. Cutullic, E., Delaby, L., Causeur, D., Michel, G. and Disenhaus, C. (2009). Hierarchy of factors affecting behavioural signs used for oestrus detection of Holstein and Normande dairy cows in a seasonal calving system.. Animal Reproduction Science. vol. 113 num. 1-4. pp. 22-37
  60. Causeur D. & Husson F. (2008). Asymptotic power of double-sampling tests for general linear hypothesis. Statistics: A Journal of Theoretical and Applied Statistics. vol. 42 num. 2. pp. 115-125
  61. Lê S., Husson F. (2008). SensoMineR: a package for sensory data analysis.. Journal of Sensory Studies. vol. 23 num. 1. pp. 14-25
  62. Bécue, M. & Pagès, J. (2008). Analysis of a mixture of quantitative, categorical and frequency data through an extension of multiple factor analysis. Application to survey data. . Computational Statistics and Data Analysis. vol. 52 num. . pp. 3255-3268
  63. Lê, S., Pagès, J. & Husson, F. (2008). Methodology for the comparison of sensory profiles provided by several panels: application to a cross-cultural study.. Food Quality and Preference. vol. 19 num. 2. pp. 179-184
  64. Lê S., Josse, J., Husson F. (2008). FactoMineR: an R package for multivariate analysis. Journal of Statistical Software. vol. 25 num. 1. pp. 1-18
  65. Bécue-Bertault M., Alvarez-Esteban R & Pagès J. (2008). Rating of products through scores and free text assertions : comparing and combining both. Food quality and preference. vol. 19 num. 1. pp. 122-134
  66. Josse, J., Pagès, J. & Husson, F. (2008). Testing the significance of the RV coefficient. Computational Statistics and Data Analysis. vol. 53 num. . pp. 82-91
  67. Cutullic, E., Delaby, L., Causeur, D., Michel, G., Disenhaus, C. (2008). Hierarchy of factors affecting behavioural signs used for oestrus detection of Holstein and Normande dairy cows in a seasonal calving system. Animal Reproduction Science. vol. num. . pp. In press
  68. Pagès, J. & Camiz S. (2008). Analyse factorielle multiple de données mixtes : application à la comparaison de deux codages. Revue de Modulad. vol. 38 num. . pp. 178-183
  69. Perrin L., ,Symoneaux R., Maître I., Asselin C., Jourjon F. & J. Pagès (2007). Comparison of Three Sensory Descriptive Methods for use with the Napping® procedure: Case of Ten Wines From Loire Valley.. Food quality and preference. vol. 19 num. 1. pp. 1-11
  70. Husson, F. , Lê, S. & Pagès, J. (2007). Variability of the representation of the variables resulting from PCA in the case of a conventional sensory profile. Food Quality and Preference. vol. 18 num. 7. pp. 933-937
  71. Pagès J. & Périnel E. (2007). Blocs incomplets équilibrés versus plans optimaux. Journal de la Société Française de Statistique. vol. 148 num. 2. pp. 100-112
  72. Morand E. & Pagès J. (2007). L'analyse factorielle multiple procustéenne.. Journal de la Société Française de Statistique. vol. 148 num. 2. pp. 65-97
  73. Pagès, J., Bertrand, C., Ali, R., Husson, F. & Lê, S. (2007). Sensory analysis comparison of eight biscuits by French and Pakistani panels. Journal of Sensory Studies. vol. 22 num. 6. pp. 665-686
  74. Perrin L., Jourjon F., Symoneaux R., Asselin C. & Pagès J. (2007). Profili convenzionali dei vini e profili liberi realizzati da professionisti a confronto.. L’ASSAGGIO. vol. 18 num. . pp. 29-32
  75. Pagès, J., Lê, S. & Husson, F. (2007). Une approche statistique de la performance en analyse sensorielle descriptive. Sciences des aliments. vol. 26 num. 5. pp. 446-469
  76. Husson F. & Pagès J. (2006). Indscal Model : geometrical interpretation and methodology. Computational Statistics and Data Analysis. vol. 50 num. 2. pp. 358-378
  77. Le Quéré J.M., Husson F., Renard C. & Primault , J. (2006). French cider characterization by sensory, technological and chemical evaluations. LWT. vol. 39 num. 9. pp. 1033-1044
  78. Husson F. & Pagès J. (2006). Aspects méthodologiques du modèle Indscal. Revue de Statistique Appliquée. vol. LIV num. 2. pp. 83-100
  79. Morand E. & Pagès J. (2006). Procrustes multiple factor analysis to analyse the overall perception of food products. Food Quality and Preference. vol. num. 14. pp. 182-188
  80. Lê S., Husson F., Pagès J. (2006). Another look at sensory data: How to "have your salmon and eat it, too!". Food Quality and Preference. vol. 17 num. 7-8. pp. 3-5
  81. Lê S., Husson, F. & Pagès J. (2006). Confidence ellipses applied to the comparison of sensory profiles. Journal of Sensory Studies. vol. 21 num. . pp. 241-248
  82. Rivière P., Monrozier R. & Pagès J. (2006). Adaptive Preference Target : contribution of Kano's model of Satisfaction for an optimized preference analysis using a sequential consumer test. . Food quality and preference. vol. 17 num. 7-8. pp. 572-581
  83. Pagès J., Lê S. & Husson F. (2006). Une approche statistique de la performance en analyse sensorielle descriptive. Sciences des aliments. vol. 26 num. 5. pp. 116-169
  84. Husson, F. & Lê, S. (2006). SensoMineR : un package pour le traitement de données sensorielles avec R. Sciences des aliments. vol. 26 num. . pp. 355-356
  85. Pagès J., Morand E., Bécue-Bertault M. & Thomas X. (2006). Napping : una metodologia per a l’avaluacio sensorial de vins. Aplicacio a l’estudi de vins catalans i xilens.. Tecnologia i clència dels aliments.. vol. 10 num. . pp. 51-60
  86. Perrin L., Joujon F., Symoneaux R., Asselin C. & Pagès J. (2006). Comparaison entre un profil libre de vins réalisés par des professionnels et un profil conventionnel. Revue française d'Oenologie. Cahier technique. vol. 226 num. . pp. 26-30
  87. Deneulin P., Asselin C. & Pagès J. (2006). Eléments pour une analyse de la variabilité sensorielle des vins rouges du val de Loire. Revue française d'Oenologie. Cahier technique. vol. 221 num. . pp.
  88. Causeur, D. (2006). MIVQUE and maximum likelihood estimation for multivariate linear models with incomplete observations.. Sankhyà. vol. 68 num. 3. pp. 409-435
  89. Husson F. & Pagès J. (2005). Scatter plot and additional variables.. Journal of Applied Statistics. vol. 32 num. 4. pp. 341--349
  90. Husson F., Le Dien S. & Pagès J. (2005). Confidence ellipse for the sensory profiles obtained by Principal Component Analysis.. Food Quality and Preference. vol. 16 num. 3. pp. 245-250
  91. Causeur D. (2005). Optimal sampling from concomitant variables for regression problems.. Journal of Statistical Planning and Inference. vol. 128 num. . pp. 289-301
  92. Causeur D., Dhorne T. & Antoni A. (2005). A two-way analysis of variance model with positive definite interaction for homologous factors . Journal of Multivariate Analysis. vol. 95 num. 2. pp. 431-448
  93. Causeur D. & Husson F. (2005). A 2 dimensional extension of the Bradley-Terry model for paired comparisons. Journal of Statistical Planning and Inference. vol. 135 num. . pp. 245-259
  94. Pagès J. & Husson F. (2005). Multiple Factor Analysis with confidence ellipses: a methodology to study the relationships between sensory and instrumental data. Journal of chemometrics. vol. 19 num. . pp. 138-144
  95. Pagès J. (2005). Analyse factorielle multiple et analyse procustéenne.. Revue Statistique appliquée. vol. LIII num. 4. pp. 61-86
  96. Huon de Kermadec F. & Pagès J. (2005). Methodologie to analyse rank and carry-over effects. . Food quality and preference. vol. num. 16. pp. 600-607
  97. Pagès J. (2005). Collection and analysis of perceived product inter-distances using multiple factor analysis; application to the study of ten white from the Loire Valley. Food quality and preference. vol. num. 16. pp. 642-649
  98. Parnaudeau V., Nicolardot B., Robert P., Alavoine G., Pagès J. & Duchiron F. (2005). Organic matter characteristics of food processing industry wastewaters affecting their C and N mineralization in a soil incubation. Bioresource Technology. vol. num. . pp.
  99. Huon de Kermadec F. & Pagès J. (2005). Methodology to analyse rank and carry-over effects. Food quality and preference. vol. num. 16. pp. 600-607
  100. Pagès J. (2005). Analyse factorielle multiple et analyse procustéenne. Revue de Statistique Appliquée. vol. LIII num. 4. pp. 61-86
  101. Ledauphin, S., Vigneau, E. & Causeur, D. (2005). Functional approach for the analysis of Time Intensity curves using B-splines.. Journal of Sensory Studies. vol. 20 num. 4. pp. 285-300
  102. Pagès J. & Périnel E. (2004). Panel performance and number of evaluations in a descriptive sensory study.. Journal of Sensory Studies. vol. 19 num. . pp. 273-291
  103. Pagès J. (2004). Analyse factorielle de données mixtes.. Revue Statistique Appliquée. vol. LII num. 4. pp. 93-111
  104. Husson F., Bocquet V. & Pagès J. (2004). Use of confidence ellipses in a PCA applied to sensory analysis. Application to the comparison of monovarietal ciders.. Journal of Sensory Studies. vol. 19 num. . pp. 510-518
  105. Morand E. & Pagès J. (2004). Incorporation de rotations procustéennes dans une analyse factorielle multiple.. Revue des Nouvelles Technologies de l'Information. vol. C1 num. 1. pp. 101-111
  106. Pagès J. (2004). Multiple Factor Analysis: main features and application to sensory data.. Revue grecque d'analyse des données. vol. 4 num. . pp. 7-29
  107. Tenenhaus M., Pagès J. , Ambroisine L. & Guinot C. (2004). PLS methodology to study relationships between hedonic judments and product characteristics.. Food Quality and Preference. vol. 16 num. 4. pp. 315-325
  108. Parnaudeau V., Nicolardot B. & Pagès J. (2004). Relevance of organic matter fractions as predictors of wastewater sludge mineralization in soil.. Journal of environmenttal quality. vol. 33 num. . pp. 1885-1894
  109. Deneulin P., Asselin C. & Pagès J. (2004). L'analisi sensoriale, uno instrumento di caratterizzazione affidabile per dare rulievo alla diversita dei vini. Applicazione al vitigno Chenin. L'ssaggio.. Revue italienne d'analyses sensorielle éditée par le Centro Studi Assaggiatori. vol. 8 num. . pp. 29-33
  110. Pagès J., Deneulin P. & Asselin C. (2004). Recherche méthodologique pour une caractérisation du cépage Chenin. Application au « rendez-vous du chenin ».. Revue française d'Oenologie. vol. 208 num. . pp. 35-40
  111. Le Dien S. & Pagès J. (2003). Hierarchical Multiple Factor Analysis: application to the comparison of sensory profiles.. Food Quality and Preference. vol. 14 num. . pp. 397-403
  112. Husson F. & Pagès J. (2003). Comparison of sensory profiles done by trained and untrained juries: methodology and results. . Journal of Sensory Studies. vol. 18 num. 6. pp. 453-464
  113. Causeur D. & Dhorne T. (2003). Linear Regression Models under Conditional Independence Restrictions.. Scandinavian Journal of Statistics. vol. 30 num. 3. pp. 637-650
  114. Périnel E. & Pagès J. (2003). Evolution of the assessor performances in a descriptive sensory evaluation.. Journal of Food Technology. vol. 1 num. 2. pp. 46-53
  115. Périnel E. & Pagès J. (2003). Optimal nested cross-over designs in sensory analysis.. Food Quality and Preference. vol. 15 num. 5. pp. 439-446
  116. Bécue M. & Pagès J. (2003). A principal axes method for comparing contingency tables: MFACT.. Computational Statistics and Data Analysis. vol. 45 num. 3. pp. 481-503
  117. Le Dien S. & Pagès J. (2003). Analyse Factorielle Multiple Hiérarchique.. Revue de Statistique Appliquée. vol. LI num. 4. pp. 83-93
  118. Pagès J. (2003). Recueil direct de distances sensorielles : application à l'évaluation de dix vins blancs du Val de Loire.. Sciences des aliments. vol. 23 num. . pp. 679-688
  119. Husson F. & Pagès J. (2003). Nuage plan d'individus et variables supplémentaires.. Revue Statistique Appliquée. vol. LI num. 4. pp. 83-93
  120. Pagès J. (2002). Analyse factorielle multiple appliquée aux variables qualitatives et aux données mixtes. Revue de Statisitque Appliquée. vol. L num. 4. pp. 5-37
  121. Pagès J. (2002). Comparaison entre évaluations sensorielles descriptives fournies par des jurys entraînés et un jury non entraîné : méthodologie et résultats. Sciences des aliments. vol. 22 num. 5. pp. 557-575
  122. Pagès J. &Ténenhaus M. (2002). Analyse factorielle multiple et approche PLS. . Revue de Statistique Appliquée. vol. L num. 1. pp. 5-33
  123. Husson F. (2001). Construire un modèle stochastique à partir d'un modèle déterministe. Revue de Statistique Appliquée. vol. num. 3. pp. 5-27
  124. Pagès J. & Husson F. (2001). Inter-laboratory comparison of sensory profiles. Methodology and results. Food Quality and Preference. vol. num. 12. pp. 297-309
  125. Husson F., Le Dien S. & Pagès J. (2001). Which value can be granted to sensory profiles given by consumers? Methodology and results. Food Quality and Preference. vol. num. 12. pp. 291-296
  126. Pagès J. & Tenenhaus M. (2001). Multiple factor analysis combined with PLS path modelling. Application to the analysis of relationships between physicochemical variables, sensory profiles and hedonic judgements.. Chemometrics and Intelligent Laboratory Systems. vol. num. 58. pp. 261-273
  127. Bécue M. & Pagès J. (2001). Analyse simultanée de questions ouvertes et de questions fermées. Métodologie, exemple. Journal de la SFdS. vol. 142 num. 4. pp. 91-104
  128. Kamp J.F., Marin-Mamellet C., Forzy J.F. & Causeur D. (2001). HMI Aspects of the Usability of Internet Services with an In-car Terminal on a Driving Simulator. IATSS Research. vol. 25 num. 2. pp. 29-40
  129. Ciampi, A., Diday, E., Lebbe, J., Périnel, E. & Vignes, R. (2000). Recursive partition and symbolic data analysis. Pattern Recognition Letters. vol. num. 21. pp. 787-803
  130. Simon J.-C., Grignani C., Jacquet A., Le Corre L. & Pagès J. (2000). Typologie des bilans d'azote de divers types d'exploitations agricoles : recherche d'indicaterus de fonctionnement. Agronomie. vol. num. 20. pp. 175-195
  131. Périnel, E. (1999). Construire un arbre de discrimination binaire à partir de données imprécises. revue de Statistique Appliquée. vol. 47 num. 1. pp. 5-30
  132. Causeur D. (1999). Exact Distribution of the Regression Estimator in Double-Sampling. Statistics. vol. num. 32. pp. 297-315
  133. Béninel F. Husson F. (1999). An optimized algorithm to determine the values of the exact cumulative distribution function of some discrete statistics. Computational Statistics. vol. 14 num. 2. pp. 251-262
  134. Nau F., Mallard A., Pagès J. & Brulé G. (1999). Reversed phase liquid chromatography of egg white proteins : optimization of ovalbumin elution. Journal Liq. Chromatog.. vol. 22 num. 8. pp. 1129-1147
  135. Husson F., Wallach D. & Vandeputte B. (1998). Evaluation of CECOL, a model of winter rape (Brassica Napus L.). European Journal of Agronomy. vol. 8 num. 3 : 4. pp. 205-214
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Articles dans livre

  1. Cadoret M., Lê S., Pagès J. (2011) Multidimensional scaling versus multiple correspondence analysis when analyzing categorization data. In: Classification and Multivariate Analysis for Complex Data Structures-Studies in Classification, Data Analysis, and Knowledge Organization B. Fichet et al.. pp. 301-308
  2. Périnel, E. & Lechevallier, Y. (2000) Analysis of Symbolic Data H.H. Bock, E. Diday. pp.
  3. Ciampi, A., Diday, E., Lebbe, J., Périnel, E. & Vignes, R. (1995) Ordinal and Symbolic Data Analysis E. Diday, Y. Lechevallier & O. Opitz. pp. 201-212
  4. Gettler Summa, M., Périnel, E. & Ferraris, J. (1993) New Approaches in Classification and Data Analysis E. Diday, Y. Lechevallier, M. Schader, P. Bertrand. & B. Burtschy. pp. 405-412

Articles soumis

  1. Causeur, D., Chu, M.-C., Hsieh, S. and Sheu, C.-F. (2012). A factor-adjusted multiple testing procedure for ERP data analysis