Spring 2027

Advanced Financial Statistics

Advanced Financial Statistics covers statistical theory and methodology for modern financial data, including stochastic models, inference, and learning applications.

offering recorded3 credits
Recorded instructors · Spring 2027 Yazhen Wang3.4/5

Summary

Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

Grade history

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average GPA
letter grades
A
AB
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Prerequisites

Course map

STAT 601 or 701

STAT 801

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

Prerequisite text tree

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.90/5 from 10 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

Historical instructors & teaching patterns

YAZHEN WANG is recorded teaching in Fall 2020. 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

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 300

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

Meeting source records
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Student experience

the class

Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Financial stochastic models based on time series and stochastic calculus
  • Modern statistical inference
  • Statistical learning for financial data
  • Applications to financial problems

Skills

  • Statistical theory and methodology for modern financial data
  • Financial stochastic models based on time series and stochastic calculus
  • Modern statistical inference
  • Statistical learning for financial data

Grades

Latest available · Fall 2020— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F
More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 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.

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Selected offering source records
STAT 801 · Spring 2027

Advanced Financial Statistics

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:932:025167",
    "course_id": "STAT 801",
    "course_uid": "course_fba6804289777faee688db73",
    "term_id": "1274",
    "source_course_id": "025167",
    "source_subject_id": "932",
    "title": "Advanced Financial Statistics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "f9296239c004ee795887eb2b454674fee9ea200204f0f1beb06619e172db9abd",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}