Recent recorded grades — Fall 2021: 3.53 GPA, 70.6% A/AB (n=17 letter grades); Fall 2022: 3.60 GPA, 76.2% A/AB (n=21 letter grades); Spring 2024: 3.59 GPA, 72.7% A/AB (n=11 letter grades).
Fall 2026
Introduction to Statistical Inference
STAT 610 introduces statistical inference, covering distribution theory, limit theorems, parameter estimation, hypothesis testing, Bayesian inference, and nonparametric estimation.
Summary
1 / 6
Historical reviews of Wei-Yin Loh: Assignments and exams are described as too tricky, with a useless textbook even for open-book exams, potentially causing students to quit before mid-term.
Grade history
↗ average GPA
letter grades
letter grades
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Prerequisites
Course mapGraduate/professional standing or declared in Statistics VISP
- Graduate/professional standing or declared in Statistics VISP
“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
Fall 2026No course-specific feedback yet.
Historical instructors & teaching patterns
Jun Shao is the current instructor. Historical reviews for Wei-Yin Loh describe an amiable professor who shares stories and teaches from first principles, but note that homework and exams are tricky and the textbook is useless.
JUN SHAO is recorded teaching in Spring 2015, Fall 2021, Fall 2022, Spring 2024. 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 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 8 / 20 | 0 |
| DIS 311 | Classroom Instruction | 8 / 20 | 0 |
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
Historical reviews for Wei-Yin Loh describe a friendly instructor who uses unique problem-solving views, but warn that homework and exams are tricky and the textbook is useless.
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
Historical reviews of Wei-Yin Loh: Assignments and exams are described as too tricky, with a useless textbook even for open-book exams, potentially causing students to quit before mid-term.
Historical reviews of Wei-Yin Loh: The professor is amiable and shares stories, but missing several classes may lead to failure due to the course's demanding nature.
Topics
Skills
Grades
Latest available · Fall 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
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BC
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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
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Introduction to Statistical Inference
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:932:018478",
"course_id": "STAT 610",
"course_uid": "course_2c47f118c8b20b84e9ca9d5d",
"term_id": "1272",
"source_course_id": "018478",
"source_subject_id": "932",
"title": "Introduction to Statistical Inference",
"credits_min": 4,
"credits_max": 4,
"typically_offered": "Spring"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel 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": "ec8060d4443b8423140625853d068dd2591d62f3342c8316b8c7753b033aa3d1",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}