Final answer:
To model Continuous Positive Target in a GLM, the Gamma and Inverse Gaussian distributions can be used, along with the log link function.
Step-by-step explanation:
When it comes to selecting a distribution and link function for Continuous Positive Target in a Generalized Linear Model (GLM), one commonly used distribution is the Gamma distribution. The Gamma distribution is suitable for modeling continuous positive variables with a skewed distribution, such as response times or quantities.
As for the link function, a popular choice for continuous positive targets is the log link function. The log link function relates the expected value of the response variable to a linear combination of the predictors, with the log transformation ensuring that the predicted values are positive.
Another distribution that can be used for Continuous Positive Target in a GLM is the Inverse Gaussian distribution. The Inverse Gaussian distribution is often employed when dealing with data that has a long tail and may exhibit skewness.