Statistics

This class comprises research and experimental development in statistics.

Parent Category

Sub-Categories

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…

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…

A

Auger-Methe, Marie

Department of Statistics, 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

Kroc, Edward

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

Faculty (G+PS eligible/member)

Statistical theory and modeling; Mathematical modelling and simulation; Ecological applications, n.e.c.; Psychological methodology design and analysis, and psychometrics; measurement; Measurement error; Statistics; urban ecology; Seabirds; Gulls; Quantitative ecology

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

Murugan, Mathav

Department of Mathematics, Faculty of Science

Faculty (G+PS eligible/member)

Probability theory; Metric and fractal geometry; Differential equations and integral equations in pure mathematics; Metric geometry; potential theory; probability theory and analysis; quasiconformal mappings; Relationship between Markov processes and the geometry of the underlying state space; Quasisymmetric Uniformization; Analysis and diffusions on fractals

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, 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)

Educational assessment and evaluation; Statistical theory and modeling; Psychological methodology design and analysis, and psychometrics; Psychometrics and Test Theory; Mathematical sciences of measurement; Latent Variable and Mixed Models, Item Response Theory, Factor Analysis; Validity Theory and Validation; Multivariate Analysis

Picture of Surjanovic, Nikola

Nikola Surjanovic

Student

Doctor of Philosophy in Statistics (PhD)

Scalable Bayesian Methods for Sampling From Complex Probability Distributions
Picture of Xi, Quanhan

Quanhan Xi

Student

Doctor of Philosophy in Statistics (PhD)

Representing latent interventions in generative models
Picture of Gryba, Rowenna

Rowenna Gryba

Student

Doctor of Philosophy in Interdisciplinary Studies (PhD)

Bridging Indigenous Knowledge and western science to better understand animal behaviour and habitat use
Picture of Ebrahimi Kahou, Mahdi

Mahdi Ebrahimi Kahou

Student

Doctor of Philosophy in Economics (PhD)

Can machine learning enhance economic models with heterogeneity?
Picture of Huerne, Katherine

Katherine Huerne

Student

Doctor of Philosophy in Population and Public Health (PhD)

A Stepping-Stone Towards Equity: Identifying Key Elements of Best-Practice Guidelines for Improving Sex and Gender-Based Analysis in Cancer Research (CIHR topic)
Picture of Yazdani, Kiana

Kiana Yazdani

Student

Doctor of Philosophy in Experimental Medicine (PhD)

The impact of opioid agonist therapy on the pharmacologic management of mental disorders
Picture of Woollard, Geoffrey

Geoffrey Woollard

Student

Doctor of Philosophy in Computer Science (PhD)

Simulation and inference in cryogenic electron microscopy
Betinol's image

Isaiah Betinol

Student

Doctor of Philosophy in Chemistry (PhD)

Statistical Models and Machine Learning for the Design and Optimization of Novel Catalysts

French Name

Statistique

French Description

Cette classe comprend la recherche et le développement expérimental en statistique.