EE278: Probability and Statistical Inference

Stanford University, Tsachy Weissman, Spring Quarter 2026

Announcements

Welcome to EE278!
We will be using Ed for announcements and discussion.

Course Overview

Many engineering applications require efficient methods to process, analyze, and infer signals and data of interest that are best described probabilistically. Building on a first course in probability, this course introduces more advanced topics in probability and explores their applications in statistical signal processing. Specific applications include hypothesis testing and classification; minimum mean square error estimation, Wiener and Kalman filtering.

Lectures (also recorded through SCPD)

Time: Tue, Thu 12:00–1:20 pm

Location: Gates B3

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