Regression tells us how the dependent (the output) variable responds to changes in independent variables that can be categorical, ordinal or continuous. In following sections, I show how three linear models can be defined by Bayesian statistics while the dependent variable follows different likelihood functions. Although the formulae are linear, the relationship between dependent andContinue reading “Three linear regression models – the Bayesian way”
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Normal Distribution
A data set can be characterised by its mean value and spread. Mean is also called the expectation of the data and can be computed by the sum of the “weighted” unique values: The f(x) is the PMF or PDF of x, showing the possibility of getting each x value. If f(x) is a uniformContinue reading “Normal Distribution”
Breakfast
When I was little, in primary school, my classmates and I needed to take turns to the school kitchen to fetch our class’ breakfast. The kitchen was at the end of the playground. It was inside a very dimly lit bungalow, with simple types of furniture, and a plain earth floor. The food was simple:Continue reading “Breakfast”
健
屋子里只有撕扯胶带的声音
每扯断一节胶带，他都会骂自己一句
活该，死了算了。
Guest on the snow mountain 