Markus Meierer

Results 23 comments of Markus Meierer

In future, we will aim to first try to optimize using BFGS and then - if no global solution can be found - fall back to Nelder-Mead. We need to...

This is a known pattern when modeling purchase records from some industries. Peter Fader, Bruce Hardie, and Michael Ross address this briefly in their book "The customer-base audit" ([https://www.pennpress.org/9781613631607/the-customer-base-audit/](https://www.pennpress.org/9781613631607/the-customer-base-audit/)). In...

Thanks for your comment. It would be interesting to learn more about this. Did you run into problems when estimating latent attrition models with CLVTools? The estimation routines implemented in...

Getting KKT right can be challenging at times. Often re-estimating the model with the final parameters of the previous estimation run might work. Also switching the optimizer can help. However,...

We can think of providing more details such as issue templates at a later stage (see https://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/about-issue-and-pull-request-templates) or extend the guidelines on this (see, e.g. https://medium.com/nyc-planning-digital/writing-a-proper-github-issue-97427d62a20f)

I see the reasons for having two different classes and agree with your line of argumentation.

Status 11-08-2020 (contributions of @niels89): - generic methods `pmf `und `clv.model.pmf` created, - parts of PNBD PMF implemented See `branch feature-pmf`.

**_How does one “predict” for times into the future, the code in the walkthrough seems to only predict vs a holdout that is already known and therefore not really forward...

**_What is the difference between CET and DERT?_** The discount factor is one of the driving factors for the difference between CET and DERT. For example, assuming a yearly discount...

**_How to evaluate performance of a CLV model?_** Let's first look at a a brief explanation how CLV is defined for the latent attrition models in CLVTools: As you can...