معرفی
Francois Husson is a Full Professor at the French Higher Education Institution in Agriculture, Food, Horticultural and Landscape Sciences, affiliated with the Department of Statistics and Computer Science in Rennes, France. His research focuses on multivariate data analysis, missing data imputation, and sensory analysis.
- Key methodologies: Principal Component Analysis (PCA), Multiple Factor Analysis (MFA), Multiple Correspondence Analysis (MCA)
- Software contributions: FactoMineR, SensoMineR packages in R
Recent work includes:
- Dementia detection using longitudinal data from SHARE surveys
- Missing value imputation via multilevel singular value decomposition and data depth
- Applications in sensory analysis of food products and clinical studies
His publications span statistical theory, biomedical research, and food science, with a strong emphasis on computational methods and open-source tools.
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