STA2112H: Introduction to Statistical Theory for Data Science
Convergence of random variables, principles of statistical inference, point and interval estimation, nonparametric inference, likelihood inference, large sample theory.
0.50
Introduction to mathematical probability theory (STA257 or equivalent), including: probability spaces, common probability distributions, discrete and continuous random variables, distribution and density functions, joint distributions, expected values, generating functions. Advanced calculus (MAT237 or equivalent) and linear algebra (MAT223, 224, or equivalent).
