The Baum-Welch algorithm A step-by-step guild to estimating the parameters of a hidden Markov model using the Baum-Welch algorithm.
Parameters of the gamma distribution Aim: To understand how parameters of the gamma distribution relate to the mean and variance of a gamma distributed random variable.
How log-log analyses can make interactions appear from nowhere ... ... or mask them so that they are missed!
What is better: Subtraction analyses (RFX) vs modelling participant intercepts (MFX)? Working on a paired-samples design? How best to model your data?
OLS in Matrix Form A guide. Also see this.
Running Bayesian Regression Models using Stan (BRMS) from R The data can be downloaded here. And a classical version of the analysis is implemented here.
Motivating logistic analyses Aim: To understand why logistic analyses of binomial distributed data may be preferred to linear approximations.