Poisson Regression: Zero Inflation (Excessive Zeros)

[@ashtondickerson6107]

Thanks so much for your Poisson series! So helpful

[@madeeasy7691]

Great Video, Professor, thank you!

[@knosis]

Thanks for the great definition. You are a life saver!

[@haowu8088]

well explained the zero-inflated models, thanks lot!

[@soumitrakar3998]

Can you kindly add the Overdispersion and excessive zeroes and two Part videos of Poisson regression of Mary Clare Kennedy also a part of the video lecture series of Poisson regression then it will be helpful for viewers.

[@marinstatlectures]

All of the tutorial videos in the series are there

[@weiyingwang2533]

Great explanation. Thank you!

[@C3PO_]

Thanks again for this nice lecture series!

[@RqueErre]

Many thanks, it's been very clear and helpful!

[@meleksenakn1739]

Hi Mike,
Could you provide the R scripts which you have mentioned on the videos of Poisson Regression Part 2 and Part 3?

[@梁文-r9i]

Very interesting, what happen if zeros are less than expected, extending the patient visits example, if there are a group of people refused to see doctors because of some reasons.

[@EvanZamir]

How do you predict "Always Zero"?

[@marinstatlectures]

A logistic regression model is used for that

[@otto3850]

This is hard for me to understand how do we recognize always zeroes from not always zeroes in the data set so that we can use it as response variable in that logistic regression?@@marinstatlectures I would really appreciate answer cause somehow I can t figure it out by myself:)

[@JoelMorley-i9w]

@@marinstatlectures How do you determine the target variable if you are testing between 'always 0' and 'happen to be 0'? In both cases the target is 0

[@marieguittonneau6565]

Thank you ! Do you know if there is an adaptation of Generalized Linear Models that allow the data to follow a zero-inflated Poisson distribution ?

[@SonuSingh-dl5cj]

Hi I am trying to perform a regression where loan amounts are the dependent variable however as in such cases there are many 0's I was looking for an appropriate model. Although the data is not count data i.e Many people could receive $0, However nobody will receive $1, $2, $3..... could I still use the Zero Inflated Poisson Model? I understand I can do a binomial model however this will not explain the features which lead to high amounts just which lead to loans

[@laxmanbisht2638]

thanks!

[@vishalharihar238]

5:40

[@albertolopez3017]

Thanks for the excellent explanation!