Statistics

This class comprises research and experimental development in statistics.
Parent Category
Sub-Categories
General statistical methods
Biostatistical methods
Statistical theory and modeling
Statistical inference
Statistical learning
High dimensional data analysis
Computational methods in statistics
Actuarial science and mathematical finance
Spatial statistics
Survey methodology and analysis
Statistical methods for high throughput data
Probability theory
Statistics, n.e.c.
 
 
 

Graduate Degree Programs in Statistics

Doctor of Philosophy in Business Administration in Finance (PhD)

The PhD Program in Business Administration welcomes applications from individuals planning research-oriented academic careers. As well as gaining access to a world of knowledge and opportunity, Sauder PhD students benefit from the individual attention they receive from faculty members - right from...

Doctor of Philosophy in Statistics (PhD)

Established in 1983, the Department of Statistics at UBC is internationally renowned for its excellence in research and the high calibre of its faculty members. Our programs offers students different options for pursuing their interests and professional goals. Students completing our PhD program...

Master of Data Science (MDS)

The UBC Master of Data Science (MDS) is a 10-month professional degree program. The MDS program was developed by the combined expertise of the UBC departments of Computer Science and Statistics to help meet a growing need for data scientists by producing skilled professionals who can turn data into...

Master of Data Science in Computational Linguistics (MDSCL)

Passionate about language and curious about data? UBC's Master of Data Science degree in Computational Linguistics is the credential to set you apart. Offered at the Vancouver campus this unique degree is tailored to those with a passion for language and data. Over 10 months, the program combines...

Master of Science in Business Administration in Finance (MSCB)

Aimed at students interested in research, the UBC MSc in Business Administration is a challenging and rigorous program designed to prepare students for a PhD program and a subsequent career in academia. As an MSc student, you will not only become part of a rich and stimulating academic community...

Master of Science in Statistics (MSc)

Established in 1983, the Department of Statistics at UBC is internationally renowned for its excellence in research and the high calibre of its faculty members. Our programs offers students different options for pursuing their interests and professional goals. We currently have programs at both the...
 

UBC Researchers conducting research in Statistics

A

Auger-Methe, Marie

Department of Statistics, Institute for the Oceans and Fisheries, Faculty of Science

Faculty (G+PS eligible/member)

Fisheries sciences; Statistics; Zoology; Animal movement; Polar ecology; Statistical Ecology

C

Chen, Jiahua

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistical theory and modeling; empirical likelihood; finite mixture model; sample survey; asymptotic theory; imputation

G

Gao, Lucy

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistics; Selective Inference; Inference x Unsupervised Learning; Statistics x Optimization

Gustafson, Paul

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistics; meta-analysis; Parametric and Non-Parametric Inference; Theoretical Statistics; Pharmacoepidemiology; Bayesian statistical methods; Biostatistics and Epidemiology; Causal inference; Evidence synthesis; Partial Identification

H

Holmes-Cerfon, Miranda

Department of Mathematics, Faculty of Science

Faculty (G+PS eligible/member)

Mathematical modelling and simulation; Computational methods in statistics; Numerical analysis; Thermodynamics and statistical physics

J

Joe, Harry Sue Wah

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistics; Statistics and Probabilities; copula construction; dependence modelling; extreme value inference; non-normal time series; parsimonous high-dimensional dependence

K

Karim, Ehsan

School of Population and Public Health, Faculty of Medicine

Faculty (G+PS eligible/member)

Biostatistical methods; Survey methodology and analysis; Statistical learning; Epidemiology (except nutritional and veterinary epidemiology); Public and population health, n.e.c.; Causal inference; Biostatistics; Statistics; Machine Learning; data science; Survey data analysis; multiple sclerosis

Korthauer, Keegan

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Bioinformatics; Genomics; Statistics; Epigenomics; Single-cell analysis; Statistical genomics

L

Lam, Tzeng Yih

Department of Forest Resources Management, Faculty of Forestry

Faculty (G+PS eligible/member)

Quantitiative methods in forestry; Forestry management and environment; Statistical theory and modeling; Survey methodology and analysis; Bayesian Filtering; Forest Inventory; Growth and Yield; Sampling Theory; silviculture; Timber; Tree Measurement

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

N

Nolde, Natalia

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Statistics; Statistics and Probabilities; Applications in finance, insurance, geosciences; Multivariate extreme value theory; Risk assessment

P

Park, Yongjin

Department of Pathology & Laboratory Medicine, Department of Statistics, Faculty of Medicine

Faculty (G+PS eligible/member)

Other basic medicine and life sciences; High dimensional data analysis; Biostatistical methods; Bioinformatics; single-cell genomics; Computational Biology; Causal inference; Bayesian machine learning

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

S

Steif, Adi

Department of Medical Genetics, Faculty of Medicine

Faculty (G+PS eligible/member)

Bioinformatics; Algorithms and computational genomics; Genomics; Cancer genetics; Mechanisms of carcinogenesis; Cancer progression and metastasis; Statistical methods for high throughput data; High dimensional data analysis; Computational Biology; Machine Learning; Cancer Genomics; Single cell sequencing; Tumour evolution; Genomic technology development

W

Welch, William

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Computational methods in statistics; Computer experiments; Design and analysis of experiments; Statistical machine learning; Environmental modellign

Wong, Hubert

School of Population and Public Health, Faculty of Medicine

Faculty (G+PS eligible/member)

Health sciences; Public and population health; Biostatistical methods; Clinical trial design

Wu, Lang

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

Biostatistical methods; Longitudinal data analysis, mixed effects models, missing data, hypothesis testing, biostatistics

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
 
 

Program Specializations in Statistics

Statistics
 
 
 
French Name
Statistique
French Description
Cette classe comprend la recherche et le développement expérimental en statistique.
 
 

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