Fall 2026

Advanced Statistical Methods

STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.

offering recorded4 credits
Recorded instructors · Fall 2026 Xinyu LiYinqiu He

Summary

1 / 4

Recent recorded grades — Fall 2023: 3.66 GPA, 88.0% A/AB (n=25 letter grades); Fall 2024: 3.52 GPA, 69.7% A/AB (n=33 letter grades); Fall 2025: 3.64 GPA, 85.7% A/AB (n=7 letter grades).

Grade history

average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor

    • Declared in
    • Statistics PhD
    • Biomedical Data Science PhD
    • Biomedical Data Science MS
    • Business PhD
    • Statistics Doctoral Minor
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STAT 849

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • Declared in
    • Statistics PhD
    • Biomedical Data Science PhD
    • Biomedical Data Science MS
    • Business PhD
    • Statistics Doctoral Minor

Professors

Fall 2026

No course-specific feedback yet.

Recent recorded grades — Fall 2023: 3.66 GPA, 88.0% A/AB (n=25 letter grades); Fall 2024: 3.52 GPA, 69.7% A/AB (n=33 letter grades); Fall 2025: 3.64 GPA, 85.7% A/AB (n=7 letter grades).

Historical instructors & teaching patterns

YINQIU HE is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction11 / 350
DIS 311Classroom Instruction11 / 350

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Recent recorded grades — Fall 2023: 3.66 GPA, 88.0% A/AB (n=25 letter grades); Fall 2024: 3.52 GPA, 69.7% A/AB (n=33 letter grades); Fall 2025: 3.64 GPA, 85.7% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Classical and modern statistical techniques
  • Linear regression models
  • Diagnostic tools
  • Prediction
  • Generalized linear regression models
  • Random effect models
  • Experimental design
  • Model selection

Skills

  • Apply statistical techniques to datasets in specific contexts

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
STAT 849 · Fall 2026

Advanced Statistical Methods

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:932:018524",
    "course_id": "STAT 849",
    "course_uid": "course_33ae6065fb867f7eec7ff60c",
    "term_id": "1272",
    "source_course_id": "018524",
    "source_subject_id": "932",
    "title": "Advanced Statistical Methods",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Occasionally"
  }
]
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "4f661a6669a0216ada940bc7aea868b25520a0f79c9df1eec99ed554369885f9",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}