36-705 Intermediate Statistics

12 units, Carnegie Mellon University

This course covers the fundamentals of theoretical statistics. Topics include: probability inequalities, point and interval estimation, minimax theory, hypothesis testing, data reduction, convergence concepts, Bayesian inference, nonparametric statistics, bootstrap resampling, VC dimension, prediction and model selection. This course is primarily for PhD students in Statistics & Data Science, Machine Learning, and Computer Science; it requires an appropriate background for entering those programs.

Prerequisites: none listed

Offered: Fall 2026, Fall 2025

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