What is cross-validation? Cross-Validation is a technique used in model selection to better estimate the test error of a predictive model. The idea behind cross-validation is to create a number of partitions of sample observations, known as the validation sets, from the training data set. After fitting a model on ... [Read more...]

Today will be a brief introduction in to circular statistics (sometimes referred to as directional statistics). Circular statistics is an interesting subdivision of statistics involving observations taken as vectors around a unit circle. As an example, imagine measuring birth times at a hospital over a 24-hour cycle, or the directional ... [Read more...]

In this post I will give a brief introduction to time series analysis and its applications. We will be using the R package astsa which was developed by professor David Stoffer at the University of Pittsburgh. The textbook it accompanies, which is a good read for anyone interested in the ... [Read more...]