I’m trying to model an outcome that’s effectively log-normal. However, there’s also a large “zero-inflation” on top of this. I put that in quotes because only familiar with models for zero-inflation for count data, so I’m not positive how to implement this in the context of a continuous distribution…

I needed a similar likelihood (actually two) for an insurance loss-cost frequency-severity model. You sometimes see these referred to as “zero-augmented” likelihoods, since the non-zero marginal dist isn’t defined at x=0. Though many people still call them zero-inflated. In any case I’ve found you…

Modeling Zero-Inflation on continuous outcome

Questions

Mehrdad_Vossoughi November 11, 2024, 7:28pm 7

Hi every one
Try Zero-inflated gamma regression. The distribution approximate the raw data and also log-normal transformed data properly.

Topic		Replies	Views
Zero inflated Normal Questions development	5	3184	March 8, 2021
Literature on implementing a Zero-Inflated Beta likelihood Questions	19	2338	January 18, 2019
The zero-inflated exponential Questions	5	1549	January 18, 2019
Zero-inflated Student-T Questions	6	970	January 25, 2021
Likelihood for regression problem in which the response is continous and zero-inflated, mixtures? any examples? v5	2	639	April 7, 2023

Modeling Zero-Inflation on continuous outcome

Related topics