Association Rules
Confidence intervals
Hypothesis testing in statistics
Basics of statistics
Survival probabilities
Monte Carlo method is a fantastic numerical integration method
Given two uniform marginals, we can apply the inverse cdf of a continuous distribution to form a new …
Useful when centering a vector around its mean
Betweenness centrality of a node $v$ is measurement of how likely the shortest path between two …
Given a graph with adjacency matrix $\mathbf A$, the eigenvector centrality is $$ \mathbf e_u = …
Local Clustering Coefficient $$ c_u = \frac{ \lvert (v_1,v_2)\in \mathcal E: v_1, v_2 \in \mathcal …
Node degree of a node $u$ $$ d_u = \sum_{v\in \mathcal V} A[u,v], $$ where $A$ is the adjacency …
The Weisfeiler-Lehman kernel is an iterative integration of neighborhood information. We initialize …
Likelihood is not necessarily a pdf
Jensen’s inequality shows that $$ f(\mathbb E(X)) \leq \mathbb E(f(X)) $$ for a concave …
Ask for valid confidence: “Valid”: validate for test data, train data, or the generating …
analysis of variance
The conditional probability table is also called CPT
Bonferroni correction is very useful in a multiple comparison problem
In a multiple comparisons problem, we deal with multiple statistical tests simultaneously. Examples …