Stanford Root

Schedule

Stanford Root

Schedule

STATS 310A

Theory of Probability I (MATH 230A)

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

Mathematical tools: sigma algebras, measure theory, connections between coin tossing and Lebesgue measure, basic convergence theorems. Probability: independence, Borel-Cantelli lemmas, almost sure and Lp convergence, weak and strong laws of large numbers. Large deviations. Weak convergence; central limit theorems; Poisson convergence; Stein's method.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Lecture 1Open
ID: 7180
0 / 50 enrolled
DAYS:Monday, Wednesday
TIME:10:30 AM – 11:50 AM
LOCATION:Sequoia Hall 200
INSTRUCTOR:
Montanari, Andrea
3units

STATS 310A: Theory of Probability I (MATH 230A)

3 units · Letter or Credit/No Credit

Mathematical tools: sigma algebras, measure theory, connections between coin tossing and Lebesgue measure, basic convergence theorems. Probability: independence, Borel-Cantelli lemmas, almost sure and Lp convergence, weak and strong laws of large numbers. Large deviations. Weak convergence; central limit theorems; Poisson convergence; Stein's method.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Lecture — Monday Wednesday 10:30 AM – 11:50 AM — Sequoia Hall 200 — Montanari, Andrea (Graduate)

More STATS courses

  • STATS 301: Statistics Teaching Practicum
  • STATS 303: Statistics Faculty Research Presentations
  • STATS 305A: Applied Statistics I
  • STATS 305B: Applied Statistics II
  • STATS 305C: Applied Statistics III
  • STATS 307: Time Series Analysis (STATS 207)
  • STATS 310B: Theory of Probability II (MATH 230B)
  • STATS 310C: Theory of Probability III (MATH 230C)
  • STATS 311: Information Theory and Statistics (EE 377)
  • STATS 315A: Modern Applied Statistics: Learning
  • STATS 318: Modern Markov Chains (MATH 235)
  • STATS 319: Literature of Statistics

All STATS courses · All departments