Gibbs sampling is a sampling method for Bayesian inference and MCMC
hypothesis testing is about the probability of alternative hypothesis if the null hypothesis is true, or even more general
In statistics, we work with samples. For example, the sample mean is easily calculated. However, it …
An overview of statistics
Local Statistics Node Degree Node Degree Node degree of a node $u$ $$ d_u = \sum_{v\in \mathcal V} …
Some basics of machine learning
identifying the data types and level of measurement is important in data science
We all make mistakes. The question is, what kind of mistakes.
Estimates from a sample can be entitled a confidence interval
Jargons in statistics, accuracy, precision, population, sample, etl
Conformal prediction is a method to sequentially predict consistent confidence intervals using nonconformity measures.
The [[Ratio Cut]] Graph Cuts Cut For a subset of nodes $\mathcal A\subset \mathcal V$, the rest of …
Detecting correlations using Pearson's chi square correlation test
The Neyman-Pearson hypothesis testing tests two hypothesis, hypothesis $H$, and an alternative …
Detecting correlations using correlations for numeric data
Detecting correlations using correlations for numerical data
Linear regression of multidimensional data
Statistical test without assuming models
Non-parametric test using ranking
Describing multi-dimensional data