Selecting the number of components in principal component analysis using cross-validation approximations. Zbl 1243.62082
Josse, Julie; Husson, François |
|
2012
|
Handling missing values in exploratory multivariate data analysis methods. Zbl 1316.62006
Josse, Julie; Husson, François |
|
2012
|
Measuring multivariate association and beyond. Zbl 1359.62212
Josse, Julie; Holmes, Susan |
|
2016
|
Adaptive shrinkage of singular values. Zbl 1505.62207
Josse, Julie; Sardy, Sylvain |
|
2016
|
Testing the significance of the RV coefficient. Zbl 1452.62399
Josse, J.; Pagès, J.; Husson, F. |
|
2008
|
Handling missing values with regularized iterative multiple correspondence analysis. Zbl 1360.62306
Josse, Julie; Chavent, Marie; Liquet, Benot; Husson, François |
|
2012
|
A principal component method to impute missing values for mixed data. Zbl 1414.62206
Audigier, Vincent; Husson, François; Josse, Julie |
|
2016
|
Handling missing values in principal component analysis.
(Gestion des données manquantes en analyse en composantes principales.) Zbl 1311.62091
Josse, Julie; Husson, François; Pagès, Jérôme |
|
2009
|
Multiple imputation for continuous variables using a Bayesian principal component analysis. Zbl 1510.62262
Audigier, Vincent; Husson, François; Josse, Julie |
|
2016
|
Regularised PCA to denoise and visualise data. Zbl 1331.62298
Verbanck, Marie; Josse, Julie; Husson, François |
|
2015
|
Multiple imputation in principal component analysis. Zbl 1274.62409
Josse, Julie; Pagès, Jérôme; Husson, François |
|
2011
|
MIMCA: multiple imputation for categorical variables with multiple correspondence analysis. Zbl 1505.62485
Audigier, Vincent; Husson, François; Josse, Julie |
|
2017
|
Logistic regression with missing covariates – parameter estimation, model selection and prediction within a joint-modeling framework. Zbl 1510.62322
Jiang, Wei; Josse, Julie; Lavielle, Marc; TraumaBase Group |
|
2020
|
Imputation and low-rank estimation with missing not at random data. Zbl 1452.62174
Sportisse, Aude; Boyer, Claire; Josse, Julie |
|
2020
|
Imputation of mixed data with multilevel singular value decomposition. Zbl 07499076
Husson, François; Josse, Julie; Narasimhan, Balasubramanian; Robin, Geneviève |
|
2019
|
Bootstrap-based regularization for low-rank matrix estimation. Zbl 1392.62153
Josse, Julie; Wager, Stefan |
|
2016
|
Doubly robust treatment effect estimation with missing attributes. Zbl 1470.62160
Mayer, Imke; Sverdrup, Erik; Gauss, Tobias; Moyer, Jean-Denis; Wager, Stefan; Josse, Julie |
|
2020
|
Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145
Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert |
|
2020
|
Adaptive Bayesian SLOPE: model selection with incomplete data. Zbl 07546464
Jiang, Wei; Bogdan, Małgorzata; Josse, Julie; Majewski, Szymon; Miasojedow, Błażej; Ročková, Veronika; TraumaBase Group |
|
2022
|
Another look at Bayesian analysis of AMMI models for genotype-environment data. Zbl 1303.62079
Josse, Julie; van Eeuwijk, Fred; Piepho, Hans-Peter; Denis, Jean-Baptiste |
|
2014
|
Hypothesis tests for principal component analysis when variables are standardized. Zbl 1426.62178
Forkman, Johannes; Josse, Julie; Piepho, Hans-Peter |
|
2019
|
Low-rank model with covariates for count data with missing values. Zbl 1422.62192
Robin, Geneviève; Josse, Julie; Moulines, Éric; Sardy, Sylvain |
|
2019
|
Multiple correspondence analysis and the multilogit bilinear model. Zbl 1362.62126
Fithian, William; Josse, Julie |
|
2017
|
Nonparametric imputation by data depth. Zbl 1437.62071
Mozharovskyi, Pavlo; Josse, Julie; Husson, François |
|
2020
|
Generalizing treatment effects with incomplete covariates: identifying assumptions and multiple imputation algorithms. Zbl 1541.62312
Mayer, Imke; Josse, Julie |
|
2023
|
Causal inference methods for combining randomized trials and observational studies: a review. Zbl 07849738
Colnet, Bénédicte; Mayer, Imke; Chen, Guanhua; Dieng, Awa; Li, Ruohong; Varoquaux, Gaël; Vert, Jean-Philippe; Josse, Julie; Yang, Shu |
|
2024
|
Causal inference methods for combining randomized trials and observational studies: a review. Zbl 07849738
Colnet, Bénédicte; Mayer, Imke; Chen, Guanhua; Dieng, Awa; Li, Ruohong; Varoquaux, Gaël; Vert, Jean-Philippe; Josse, Julie; Yang, Shu |
|
2024
|
Generalizing treatment effects with incomplete covariates: identifying assumptions and multiple imputation algorithms. Zbl 1541.62312
Mayer, Imke; Josse, Julie |
|
2023
|
Adaptive Bayesian SLOPE: model selection with incomplete data. Zbl 07546464
Jiang, Wei; Bogdan, Małgorzata; Josse, Julie; Majewski, Szymon; Miasojedow, Błażej; Ročková, Veronika; TraumaBase Group |
|
2022
|
Logistic regression with missing covariates – parameter estimation, model selection and prediction within a joint-modeling framework. Zbl 1510.62322
Jiang, Wei; Josse, Julie; Lavielle, Marc; TraumaBase Group |
|
2020
|
Imputation and low-rank estimation with missing not at random data. Zbl 1452.62174
Sportisse, Aude; Boyer, Claire; Josse, Julie |
|
2020
|
Doubly robust treatment effect estimation with missing attributes. Zbl 1470.62160
Mayer, Imke; Sverdrup, Erik; Gauss, Tobias; Moyer, Jean-Denis; Wager, Stefan; Josse, Julie |
|
2020
|
Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145
Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert |
|
2020
|
Nonparametric imputation by data depth. Zbl 1437.62071
Mozharovskyi, Pavlo; Josse, Julie; Husson, François |
|
2020
|
Imputation of mixed data with multilevel singular value decomposition. Zbl 07499076
Husson, François; Josse, Julie; Narasimhan, Balasubramanian; Robin, Geneviève |
|
2019
|
Hypothesis tests for principal component analysis when variables are standardized. Zbl 1426.62178
Forkman, Johannes; Josse, Julie; Piepho, Hans-Peter |
|
2019
|
Low-rank model with covariates for count data with missing values. Zbl 1422.62192
Robin, Geneviève; Josse, Julie; Moulines, Éric; Sardy, Sylvain |
|
2019
|
MIMCA: multiple imputation for categorical variables with multiple correspondence analysis. Zbl 1505.62485
Audigier, Vincent; Husson, François; Josse, Julie |
|
2017
|
Multiple correspondence analysis and the multilogit bilinear model. Zbl 1362.62126
Fithian, William; Josse, Julie |
|
2017
|
Measuring multivariate association and beyond. Zbl 1359.62212
Josse, Julie; Holmes, Susan |
|
2016
|
Adaptive shrinkage of singular values. Zbl 1505.62207
Josse, Julie; Sardy, Sylvain |
|
2016
|
A principal component method to impute missing values for mixed data. Zbl 1414.62206
Audigier, Vincent; Husson, François; Josse, Julie |
|
2016
|
Multiple imputation for continuous variables using a Bayesian principal component analysis. Zbl 1510.62262
Audigier, Vincent; Husson, François; Josse, Julie |
|
2016
|
Bootstrap-based regularization for low-rank matrix estimation. Zbl 1392.62153
Josse, Julie; Wager, Stefan |
|
2016
|
Regularised PCA to denoise and visualise data. Zbl 1331.62298
Verbanck, Marie; Josse, Julie; Husson, François |
|
2015
|
Another look at Bayesian analysis of AMMI models for genotype-environment data. Zbl 1303.62079
Josse, Julie; van Eeuwijk, Fred; Piepho, Hans-Peter; Denis, Jean-Baptiste |
|
2014
|
Selecting the number of components in principal component analysis using cross-validation approximations. Zbl 1243.62082
Josse, Julie; Husson, François |
|
2012
|
Handling missing values in exploratory multivariate data analysis methods. Zbl 1316.62006
Josse, Julie; Husson, François |
|
2012
|
Handling missing values with regularized iterative multiple correspondence analysis. Zbl 1360.62306
Josse, Julie; Chavent, Marie; Liquet, Benot; Husson, François |
|
2012
|
Multiple imputation in principal component analysis. Zbl 1274.62409
Josse, Julie; Pagès, Jérôme; Husson, François |
|
2011
|
Handling missing values in principal component analysis.
(Gestion des données manquantes en analyse en composantes principales.) Zbl 1311.62091
Josse, Julie; Husson, François; Pagès, Jérôme |
|
2009
|
Testing the significance of the RV coefficient. Zbl 1452.62399
Josse, J.; Pagès, J.; Husson, F. |
|
2008
|