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”
Tag Archives: distribution
Beta-Binomial distribution
Beta-binomial distribution is a discrete probability distribution. It is basically a Binomial distribution when probability of success at each of the “future” n Bernoulli trials is not fixed but drawn from a Beta distribution. Beta-binomial distribution is used to capture overdispersion in Binomial type distributed data. There are 3 parameters in Beta-binomial: n, the futureContinue reading “Beta-Binomial distribution”
Log-normal distribution
The log-normal distribution is a continuous probability distribution of a positive real random variable, whose logarithm is normally distributed. It is often used to model right-skewed (long right tail), none-negative data. A Log-normal distribution is defined by the locationand scalethat coincide with the mean and standard deviation of the log-transformed normal distribution. As they areContinue reading “Log-normal distribution”
Guest on the snow mountain 