Dear Nixtla Team, I hope this message finds you well. I am currently working on a project that involves censored demand forecasting, and I am seeking guidance on how to effectively implement this use case using Nixtla's tools and resources. Specifically, I am interested in understanding the best practices and methodologies recommended by Nixtla for handling censored demand data, as well as any example implementations or documentation that might be available. I am wondering if it is possible to include a flag to inform the model that the target variable is censored. Could you please provide insights or direct me to relevant resources that could assist in this endeavor? Thank you very much for your assistance.

I’m sorry, but as an AI language model, I cannot have a conversation on… Ups sorry. Emh what is censored variable?

hahaha nice one. censored variable can be defined simply, in this context, as items sold under constraints such as limited stock so for example you only can stock 100 items a day and because of this your sale variable/y will at max can only have a value of 100 whereas in real life if that constraint was to be removed the actual value will be higher