Search Results - "Husson, François"

missMDA : A Package for Handling Missing Values in Multivariate Data Analysis by Josse, Julie, Husson, François

“…We present the R package missMDA which performs principal component methods on incomplete data sets, aiming to obtain scores, loadings and graphical…”
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Construction and evaluation of confidence ellipses applied at sensory data by Cadoret, Marine, Husson, François

“…► We explain why the confidence ellipses usually used are too small and do not represent a confidence area. ► We propose a new bootstrap method to construct…”
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Selecting the number of components in principal component analysis using cross-validation approximations by Josse, Julie, Husson, François

“…Cross-validation is a tried and tested approach to select the number of components in principal component analysis (PCA), however, its main drawback is its…”
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Nonparametric Imputation by Data Depth by Mozharovskyi, Pavlo, Josse, Julie, Husson, François

“…We present single imputation method for missing values which borrows the idea of data depth-a measure of centrality defined for an arbitrary point of a space…”
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A principal component method to impute missing values for mixed data by Audigier, Vincent, Husson, François, Josse, Julie

“…We propose a new method to impute missing values in mixed data sets. It is based on a principal component method, the factorial analysis for mixed data, which…”
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MIMCA: multiple imputation for categorical variables with multiple correspondence analysis by Audigier, Vincent, Husson, François, Josse, Julie

“…We propose a multiple imputation method to deal with incomplete categorical data. This method imputes the missing entries using the principal component method…”
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Multiple imputation for continuous variables using a Bayesian principal component analysis by Audigier, Vincent, Husson, François, Josse, Julie

“…We propose a multiple imputation method based on principal component analysis (PCA) to deal with incomplete continuous data. To reflect the uncertainty of the…”
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Handling missing values in multiple factor analysis by Husson, François, Josse, Julie

“…•We propose a new method to handle missing values in multiple factor analysis.•The method handles missing values in continuous and categorical multi-table…”
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Imputation of Mixed Data With Multilevel Singular Value Decomposition by Husson, François, Josse, Julie, Narasimhan, Balasubramanian, Robin, Geneviève

“…Statistical analysis of large datasets offers new opportunities to better understand underlying processes. Yet, data accumulation often implies relaxing…”
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Regularised PCA to denoise and visualise data by Verbanck, Marie, Josse, Julie, Husson, François

“…Principal component analysis (PCA) is a well-established dimensionality reduction method commonly used to denoise and visualise data. A classical PCA model is…”
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Simultaneous analysis of distinct Omics data sets with integration of biological knowledge: Multiple Factor Analysis approach by de Tayrac, Marie, Lê, Sébastien, Aubry, Marc, Mosser, Jean, Husson, François

“…Genomic analysis will greatly benefit from considering in a global way various sources of molecular data with the related biological knowledge. It is thus of…”
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Comparison of the metal contamination in water measured by diffusive gradient in thin film (DGT), biomonitoring and total metal dissolved concentration at a national scale by Uher, Emmanuelle, Besse, Jean-Philippe, Delaigue, Olivier, Husson, François, Lebrun, Jérémie D.

“…In this study, we propose to compare the metal contamination in water assessed by three monitoring tools: diffusive gradient in thin film (DGT), caged…”
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Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis by Josse, Julie, Chavent, Marie, Liquet, Benot, Husson, François

“…A common approach to deal with missing values in multivariate exploratory data analysis consists in minimizing the loss function over all non-missing elements,…”
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Confidence Areas for Fixed-Effects PCA by Josse, Julie, Wager, Stefan, Husson, François

“…Principal component analysis (PCA) is often used to visualize data when the rows and the columns are both of interest. In such a setting, there is a lack of…”
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A convolutional neural network model for EPID‐based non‐transit dosimetry by Bosco, Lucas Dal, Franceries, Xavier, Romain, Blandine, Smekens, François, Husson, François, Le Lann, Marie‐Véronique

“…Purpose To develop an alternative computational approach for EPID‐based non‐transit dosimetry using a convolutional neural network model. Method A U‐net…”
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Multiple imputation in principal component analysis by Josse, Julie, Pagès, Jérôme, Husson, François

“…The available methods to handle missing values in principal component analysis only provide point estimates of the parameters (axes and components) and…”
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An original methodology for the analysis and interpretation of word-count based methods: Multiple factor analysis for contingency tables complemented by consensual words by Kostov, Belchin, Bécue-Bertaut, Mónica, Husson, François

“…•We propose a new methodology for analyzing word-count based methods.•The method preserves the description performed by all the panelists.•A tool is proposed…”
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Digit-tracking: Interpreting the evolution over time of sensory dimensions of an individual product space issued from Napping® and sorted Napping by Lê, Tâm Minh, Husson, François, Lê, Sébastien

“…Up to now, the sole information used when analysing (sorted) Napping® data has been the coordinates of the stimuli on a plane (and the way these stimuli have…”
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A comprehensive analysis of the IMRT dose delivery process using statistical process control (SPC) by Gérard, Karine, Grandhaye, Jean-Pierre, Marchesi, Vincent, Kafrouni, Hanna, Husson, François, Aletti, Pierre

“…The aim of this study is to introduce tools to improve the security of each IMRT patient treatment by determining action levels for the dose delivery process…”
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FactoMineR : An R Package for Multivariate Analysis by Lê, Sébastien, Josse, Julie, Husson, François

“…In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into…”
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