Design Matrix for Regression Explained
Recently I was asked about the design matrix (or model matrix) for a regression model and why it is important. […]
Recently I was asked about the design matrix (or model matrix) for a regression model and why it is important. […]
Outlier detection and treatment is an important part of data analysis and one of the first things you should do […]
This was my first UTA100. A race I’ve long wanted to do. It’s an amazing event, the atmosphere is exhilarating […]
Singular value decomposition (SVD) is a matrix factorisation technique. It is a method to factorise any given matrix into 3 […]
The Bayes Factor is a quantitative measure of much evidence there is for hypothesis A relative to hypothesis B given […]
Recently I was looking at a Kaggle dataset on air quality and the relationships between the concentrations of contaminants and […]
State space modelling is a popular technique for forecasting and smoothing time series data. There are two main components which […]
Discrete Time Markov Chain A discrete time markov chain is a stochastic model describing a sequence of observed events. The […]
Metropolis Algorithm The Metropolis algorithm is a common acceptance/rejection algorithm for sampling from target distributions and a key tool for […]