Spring 2027

Introduction to Statistical Inference

Introduction to statistical inference covering distribution theory, limit theorems, parameter estimation, hypothesis testing, and Bayesian methods.

offering recorded4 credits
Recorded instructors · Spring 2027 Chunming Zhang3.3/5

Summary

1 / 4

Past student reviews · Wei-Yin Loh

Homework and exams were described as too tricky, and the textbook was considered useless, even for open-book exams.

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing or declared in Statistics VISP

  • Graduate/professional standing or declared in Statistics VISP
STAT 610 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing or declared in Statistics VISP

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.44/5 from 9 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.

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Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 120
DIS 311Classroom Instruction0 / 120
LEC 002Classroom Instruction0 / 120
DIS 321Classroom Instruction0 / 120

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

Past student reviews · Wei-Yin Loh

Wei-Yin Loh taught with a friendly, story-driven approach, emphasizing principles and unique problem-solving perspectives.

Recent recorded grades — Fall 2024: 3.52 GPA, 69.0% A/AB (n=29 letter grades); Spring 2025: 3.33 GPA, 65.4% A/AB (n=26 letter grades); Fall 2025: 3.29 GPA, 62.5% A/AB (n=24 letter grades).

difficulty & workload

Past student reviews · Wei-Yin Loh

Homework and exams were described as too tricky, and the textbook was considered useless, even for open-book exams.

Past student reviews · Wei-Yin Loh

Students who missed several classes found it difficult to keep up, suggesting preparation to quit before the mid-term.

Topics

  • Distribution theory, approximation to distributions, modes of convergence, and limit theorems.
  • Statistical models, parameter estimation, comparison of estimators, and confidence sets.
  • Theory of hypothesis tests, Bayesian inference, and nonparametric estimation.

Skills

  • Parameter estimation, comparison of estimators, construction of confidence sets, theory of hypothesis tests, Bayesian inference, and nonparametric estimation.
  • Distribution theory, approximation to distributions, modes of convergence, limit theorems, and statistical modeling.

Grades

Latest available · Fall 2025— 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

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records
STAT 610 · Spring 2027

Introduction to Statistical Inference

Recorded 2026-10-14
Raw records
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  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:932:018478",
    "course_id": "STAT 610",
    "course_uid": "course_2c47f118c8b20b84e9ca9d5d",
    "term_id": "1274",
    "source_course_id": "018478",
    "source_subject_id": "932",
    "title": "Introduction to Statistical Inference",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Spring"
  }
]
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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "ddb91d1612f84ff89d35b3f15454cf2e6c614eca73c4a90e911119b14671ac3c",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}