An introduction to the Exponential Family of probability distributions.
This brief post discusses the underlying basis of the three measures of central tendency that we typically use to represent a distribution, sample or population: the mean, median and mode, prompted by a passing comment made by my Bayesian statistics professor.
Bayesian inference for the cases when the data generating process allows for a conjugate setup.
This post introduces a few of the most commonly encountered families of probability distributions: the Poisson, which models rates, and the geometric distribution, which models waiting times for discrete stochastic processes and the exponential, which is a continuous analogue of the geometric relating closely to the Poisson family.