Stanford Root

Schedule

Stanford Root

Schedule

STATS 390

Consulting Workshop

UNITS:1
GRADING:Satisfactory/No Credit
LEVEL:Graduate
GER:—

This statistical consulting workshop provides useful and valuable experience advising researchers from a wide variety of disciplines on statistical aspects of their research.n Enrollment is open to all Statistics PhD students, and students in other programs who have completed at least 3 of the following 9 courses: STATS STATS 300 A/B/C, STATS STATS 305A/B/C, STATS STATS 310A/B/C, as well as students in other programs who have broad prior statistical experience, at the instructor's discretion.nMay be repeated for credit.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

3 Terms
Workshop 1Open
ID: 6646
0 / 40 enrolled
DAYS:Friday
TIME:12:30 PM – 1:20 PM
LOCATION:Sequoia Hall 200
INSTRUCTOR:
Switzer, Paul
1unit

STATS 390: Consulting Workshop

1 units · Satisfactory/No Credit

This statistical consulting workshop provides useful and valuable experience advising researchers from a wide variety of disciplines on statistical aspects of their research.n Enrollment is open to all Statistics PhD students, and students in other programs who have completed at least 3 of the following 9 courses: STATS 300 A/B/C, STATS 305A/B/C, STATS 310A/B/C, as well as students in other programs who have broad prior statistical experience, at the instructor's discretion.nMay be repeated for credit.

Offered in Autumn 2026, Winter 2027, Spring 2027 at Stanford University.

Autumn 2026 sections

  • Workshop — Friday 12:30 PM – 1:20 PM — Sequoia Hall 200 — Switzer, Paul (Graduate)

Winter 2027 sections

  • Workshop — Friday 12:30 PM – 1:20 PM — Janson, Lucas (Graduate)

Spring 2027 sections

  • Workshop — Monday 12:30 PM – 1:20 PM — Hastie, Trevor (Graduate)

More STATS courses

  • STATS 331: Survival Analysis (BMDS 252)
  • STATS 354: Generalization and Causality in Biohealth (CS 273D)
  • STATS 357: Reliability and Validity in Artificial Intelligence (MS&E 330)
  • STATS 361: Causal Inference
  • STATS 362: Topic: Monte Carlo
  • STATS 363: Design of Experiments (STATS 263)
  • STATS 369: Methods from Statistical Physics
  • STATS 370: Bayesian Statistics (STATS 270)
  • STATS 398: Industrial Research for Statisticians
  • STATS 399: Research
  • STATS 801: TGR Project
  • STATS 802: TGR Dissertation

All STATS courses · All departments