Julie Josse
Statistics and Probability · 2008–2019
A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 39 citations into it; #3,304 of 12,932 by trust here, #1,860 by citations
- Artificial Intelligence — 19 citations into it; #13,316 of 35,345 by trust here, #11,192 by citations
- Analytical Chemistry — 11 citations into it
- Food Science — 7 citations into it; #192 of 1,700 by trust here, #252 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Control and Systems Engineering — 5 citations into it
- Molecular Biology — 5 citations into it
Whom Julie Josse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael J. Greenacre
- S. van Buuren
- Daniel J. Stekhoven
- Donald B. Rubin
- Sébastien Lê
- James R. Carpenter
- Ian T. Jolliffe
- Lyle Ungar
- Jeffrey E. Jarrett
- P. Kroonenberg
Who trusts Julie Josse overall
- Pierre-Alexandre Mattei
- Alexander Kowarik
- François Husson
- Jes Frellsen
- Matthias Templ
- G. Ares
- Stéphanie Bougeard
- Jan P. Meier-Kolthof
- Tauno Metsalu
- N. Benjamin Erichson
Papers from Julie Josse's perspective
Ordered by how strongly the researchers Julie Josse trusts endorse each paper. Same corpus, a different order for every researcher.
- Analysis of Incomplete Multivariate Data (Technometrics)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- INFERENCE AND MISSING DATA
- Regression Shrinkage and Selection via the Lasso
- Missing data
- Relations Between Two Sets of Variates
- Multiple imputation of discrete and continuous data by fully conditional specification
- FactoMineR: An R Package for Multivariate Analysis
- Spectral Regularization Algorithms for Learning Large Incomplete Matrices
- Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box
Their papers
- FactoMineR: An R Package for Multivariate Analysis (2008) — 10,556 citations
- Multiple imputation for continuous variables using a Bayesian principal component analysis† (2014) — 84 citations
- missMDA: A Package for Handling Missing Values in Multivariate Data Analysis (2016) — 1,155 citations
- Hypothesis Tests for Principal Component Analysis When Variables are Standardized (2019) — 47 citations
- Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data? (2010) — 461 citations