François Husson

Statistics and Probability · 2001–2016

A researcher in the Science corpus: 6 papers; trusts 36 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 27 citations into it; #3,124 of 12,932 by trust here, #1,751 by citations
• Artificial Intelligence — 13 citations into it; #12,557 of 35,345 by trust here, #11,192 by citations
• Food Science — 7 citations into it; #143 of 1,700 by trust here, #200 by citations
• Analytical Chemistry — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Molecular Biology — 5 citations into it

Whom François Husson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. van Buuren
2. Michael J. Greenacre
3. Daniel J. Stekhoven
4. Donald B. Rubin
5. Sébastien Lê
6. James R. Carpenter
7. Rasmus Bro
8. Arthur P. Dempster
9. Lyle Ungar
10. Jeffrey E. Jarrett

Who trusts François Husson overall

1. Julie Josse
2. Pierre-Alexandre Mattei
3. Alexander Kowarik
4. Ines Thamke
5. G. Ares
6. Jes Frellsen
7. Max Vargas
8. Stéphanie Bougeard
9. Jan P. Meier-Kolthof
10. Tauno Metsalu

Papers from François Husson's perspective

Ordered by how strongly the researchers François Husson trusts endorse each paper. Same corpus, a different order for every researcher.

1. Analysis of Incomplete Multivariate Data (Technometrics)
2. INFERENCE AND MISSING DATA
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. Missing data
5. Multiple imputation of discrete and continuous data by fully conditional specification
6. Relations Between Two Sets of Variates
7. Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box
8. Spectral Regularization Algorithms for Learning Large Incomplete Matrices
9. FactoMineR: An R Package for Multivariate Analysis
10. Technometrics: Book Reviews

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
• Exploratory Multivariate Analysis by Example Using R (2010) — 309 citations
• Confidence ellipse for the sensory profiles obtained by principal component analysis (2005) — 99 citations
• Inter-laboratory comparison of sensory profiles: methodology and results (2001) — 76 citations