Linglong Kong, PhD

Professor, Canada Research Chair in Statistical Learning, and Canada CIFAR AI Chair, Faculty of Science - Mathematics & Statistical Sciences
Directory

Fall Term 2024 (1890)

STAT 512 - Techniques of Mathematics for Statistics

3 units (fi 6)(EITHER, 3-0-0)

Introduction to mathematical techniques commonly used in theoretical Statistics, with applications. Applications of diagonalization results for real symmetric matrices, and of continuity, differentiation, Riemann-Stieltjes integration and multivariable calculus to the theory of Statistics including least squares estimation, generating functions, distribution theory. Prerequisite: consent of Department.

LECTURE A1 (47941)

2024-09-03 - 2024-12-09
TR 09:30 - 10:50



STAT 561 - Sample Survey Methodology

3 units (fi 6)(EITHER, 3-0-0)

Review of basic sampling schemes: simple random sampling, and stratified random sampling, and systematic sampling. Multistage sampling schemes. Estimation of nonlinear parameters: ratios, regression coefficients, and correlation coefficients. Variance estimation techniques: linearization, BRR, jackknife, and bootstrap. Selected topics: model-based estimation, regression analysis from complex survey data. Relevant computer packages. Prerequisites: STAT 361, 372, 471.

LECTURE A1 (54046)

2024-09-03 - 2024-12-09
TR 12:30 - 13:50