LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Could somebody guide me on how to work with outlier/influential points in the data? Since MMM is ultimately a linear regression model, it is quite susceptible to such data points and I am trying to minimize that sensitivity.
Could somebody guide me on how to work with outlier/influential points in the data? Since MMM is ultimately a linear regression model, it is quite susceptible to such data points and I am trying to minimize that sensitivity.