Statistical theory and modeling

This subclass comprises research and experimental development in statistical theory and modeling.
Parent Category
 
 
 
 

UBC Researchers conducting research in Statistical theory and modeling

M

McDonald, Daniel

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

High dimensional data analysis; Computational methods in statistics; Statistical theory and modeling; Machine learning; Epidemiology (except nutritional and veterinary epidemiology); Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation

P

Pleiss, Geoffrey

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistical theory and modeling; Machine learning; Computational methods in statistics; Spatial statistics; Numerical analysis; Machine Learning; neural networks; Gaussian processes; Bayesian optimization; reliable deep learning

R

Robeva, Elina

Department of Mathematics, Faculty of Science

Faculty (G+PS eligible/member)

Statistical theory and modeling; Machine learning; Algebra; Algebraic statistics; Graphical Models; Tensor decomposition; Causality; Applied algebraic geometry; Shape-constrained density estimation; Tensor networks

Z

Zumbo, Bruno

Department of Educational & Counselling Psychology, and Special Education, Faculty of Education

Faculty (G+PS eligible/member)

Psychological methodology design and analysis, and psychometrics; Statistical theory and modeling; Educational assessment and evaluation; Psychometrics and Test Theory; Mathematical sciences of measurement; Latent Variable Models, Item Response Theory, Factor Analysis, Mixed models; Validity Theory and Validation; Multivariate Analysis
 
 
 
 
 
French Name
Théorie et modélisation statistiques
French Description
Cette sous-classe comprend la recherche et le développement expérimental en théorie statistique et modélisation.
 
 

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