Hidden Markov Model example in R with the depmixS4 package
Recently I developed a solution using a Hidden Markov Model and was quickly asked to explain myself. What are they […]
Recently I developed a solution using a Hidden Markov Model and was quickly asked to explain myself. What are they […]
Bayesian Networks are probabilistic graphical models and they have some neat features which make them very useful for many problems. […]
I recently purchased a new laptop with an Intel i7-8750 6 core CPU with multi-threading meaning I have 12 logical […]
Cribbage is one of my favourite card games and have been playing it ever since I could count. It is […]
The problem Consider a case where we have a bag of marbles of size . The bag consists of black […]
There are a few ways to reduce the dimensions of large data sets to ensure computational efficiency such as backwards […]
Sensitive data has it’s restrictions for good reason. Personal data such as names and other identifiable information should be protected. […]
I like to describe Official statistics as the All Bran of statistics, it’s bland and a bit boring but it […]
Neural networks evolved in the computer science domain are often the first thing people think of when they hear machine […]
A need for unsupervised learning or clustering procedures crop up regularly for problems such as customer behavior segmentation, clustering of […]
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 […]
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 […]