📋 Changes in this PR: Comparing Means, Fitting Models by Bayesian Inference with JAGS, Bayesian Inference, The Bootstrap, Comparing Proportions, Classification and Diagnostic Tests, Correlation and Simple Linear Regression, Types of Variables, Dependency Tree, Estimation, Properties of Estimators, Exploratory Data Analysis, Exponential Families, Statistics for Data Science, Statistical Inference, Introduction to Maximum Likelihood Inference, Inference for Logistic Regression, Markov Chain Monte Carlo, Validating Predictions, Multiple Testing, Nonparametric Models, Permutation Tests, Poisson Regression, Prediction, Simulation Studies, Sufficiency and the Rao–Blackwell Theorem
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Last modified: 2026-11-07 21:34:29 (PST)
Every definition and theorem in these notes is one box, colored by kind. A box sits below each definition and theorem it uses, so the ones that use no others are at the top. Hover over a box to see its name, and click it to open its page.
---
title: "Dependency Tree"
format:
html: default
---
# How to read the tree {.unnumbered}
Every definition and theorem in these notes is one box, colored by kind.
A box sits below each definition and theorem it uses,
so the ones that use no others are at the top.
Hover over a box to see its name,
and click it to open its page.
::: {#dependency-graph-site}
:::