What is Tweedie Regression?
The tweedie distribution has a density that follows an exponential curve but has a large concentration of data points around 0.
glm
What is Gamma Regression?
The gamma distribution is used to model non-negative data that has an inherent right skew, such as income.
Briefly discuss other models that fall within the scope of GLM.
Gamma Regression: The gamma distribution is used to model non-negative data that has an inherent right skew, such as income.
What about cases where a significant number of observations have a count of 0 (in the context of Poisson Regression)?
In many data generation processes for count data, it is possible that a lot of observations will have a count of zero.
What is overdispersion in Poisson Regression, and what are alternate specifications for when it is present?
The poisson distribution is specified by one parameter lambda that represents both the mean and variance of the distribution.
What is the cost function used in Poisson Regression?
Poisson regression uses the following cost function:
How does GLM adjust to the case of count data?
Poisson regression is used where target variable is measured in counts.
What is the equivalent of the overall F test in logistic regression?
The equivalent of the overall F-Test in logistic regression is Deviance.
How are the coefficients in a logistic expression interpreted?
Each ? is interpreted as the change in log odds of a success for a 1-unit increase in the corresponding predictor, holding all other variables constant.
What is the relationship between the log odds ratio and probability?
Logistic regression relates the log odds to the weighted combination of predictors and coefficients