Fall 2026

Bayesian Statistics

Covers theory and computational procedures for advanced Bayesian data analysis, including MCMC and probabilistic programming.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=30 letter grades); Spring 2025: 3.92 GPA, 96.7% A/AB (n=30 letter grades); Spring 2026: 3.88 GPA, 95.0% A/AB (n=20 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

STAT 609, 610, 611,STAT/​MATH 709,ECON 709,POLI SCI 818, or COMP SCI/​E C E 761

ECON/GENBUS/STAT 775

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Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=30 letter grades); Spring 2025: 3.92 GPA, 96.7% A/AB (n=30 letter grades); Spring 2026: 3.88 GPA, 95.0% A/AB (n=20 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Decision-theoretic motivations
  • Bayesian components
  • Hierarchical and multilevel models
  • Computational techniques

Skills

  • Advanced Bayesian data analysis
  • Computational Bayesian methods
  • Model specification and criticism

Grades

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

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

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Sources & history

UW–Madison

Catalog & offerings

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Grade history

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "ddc3c55d8ddfae8b7bf5137d370b967b5de66cc99fa9e66217d2f993795382a3",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}