STAT 3460

Intermediate Statistic. Theory

Lec 01 selected

This course provides an intermediate level coverage of statistical theory to provide a framework for valid inferences from sample data. The methods developed are based on the likelihood function and are discussed from the frequentist, likelihood, and Bayesian approaches. The problems of point estimation, interval estimation and hypothesis testing and the related topics of sampling distributions, sufficiency, and Fisher Information are discussed.

Sections

Lecture

From the syllabus

From the Winter 2025 syllabus by Théo Michelot. Winter 2027 is taught by Gu H., so details may differ. Open the PDF

Grading

40%Assignments (8)weekly; 5% each
20%Midterm examFebruary 27
40%Final examdate set by registrar

Course rules

Late work
Assignments lose 10% per day, up to three days; work more than three days late receives zero.
Assignment collaboration
High-level discussion is allowed, but solutions must be written independently and not shared.
Generative AI
AI may be used for ideas, but submissions must identify the tool and use; do not copy AI-generated text.

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