Fall 2026

Multivariate Analysis I

Covers multivariate normal distribution, Wishart distribution, and methods like Hotelling's T-squared and principal components.

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

Summary

Recent recorded grades — Fall 2014: 3.80 GPA, 96.0% A/AB (n=25 letter grades); Fall 2017: 3.98 GPA, 100.0% A/AB (n=21 letter grades); Fall 2019: 3.94 GPA, 94.4% A/AB (n=18 letter grades).

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Prerequisites

Course map

STAT 610 or MATH/​STAT 710

STAT 760

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Professors

Fall 2026

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Fall 2014: 3.80 GPA, 96.0% A/AB (n=25 letter grades); Fall 2017: 3.98 GPA, 100.0% A/AB (n=21 letter grades); Fall 2019: 3.94 GPA, 94.4% A/AB (n=18 letter grades).

difficulty & workload

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Topics

  • Multivariate normal distribution
  • Wishart distribution
  • Partial and multiple correlation coefficients
  • Hotelling's T-squared
  • Principal components

Skills

  • Estimation of mean and covariance matrix
  • Analyzing partial and multiple correlation coefficients
  • Applying Hotelling's T-squared and principal components

Grades

Latest available · Fall 2019— not enough history to project Fall 2026.

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Grade distribution · % of letter grades

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BC
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Sources & history

UW–Madison

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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

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "68e338c24a9622355515d8e591e729952951ab762c78e757b2686ac63f8cc51d",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}