# Recent content by Snow64

1. ### Compound Distribution Hyper-Parameters

Hi, If a compound distribution is made up of a gamma dist with parameters (a,b), and b is gamma-distributed so that its parameters are (c,d), such that I have a compound distribution -> f(a,c,d) (i.e. b has been marginalised out). My question is: If I am using the log-likelihood of the...
2. ### Combining gamma functions

Hi I have customer revenue data that I am modelling with gamma functions (coding in python) I want to combine my gamma functions to look at spending in a whole year - so I was hoping someone could confirm the theory on this: combining two Gamma functions is the convolution of the two...
3. ### Combining two data sets using Bayesian methods

Hi, I want to combine multiple data sets of customer spend data together. I want to calculate how the bounds of the data decrease as I add in more data sets (so I can do things like estimate the ROI error for a whole year, as opposed to one week's spend). I believe there is a Bayesian method...
4. ### ROI Error

Hi, I am trying to calculate the errors for my ROI figure from targeted marketing campaigns. At the end of a campaign I have the amounts spent by the targeted customers as well as the control group. I have also been developing a Bayesian hierarchical model into which I can feed in all the spend...
5. ### Bayesian Hierarchical Customer Spend Model

Hi hlsmith and thanks for your quick response. Yes I can leave out level 4 for now. This was a concern I had too actually - whether this many levels will be computationally feasible if I go to >100,000 customers. I am not sure I can collapse level 2 and 3. This is because within all the VIP...
6. ### Bayesian Hierarchical Customer Spend Model

Hi guys, I am trying to set up a Bayesian Hierarchical model for customer spending, and was hoping to clarify a couple of things. I want to look at the returns on investment amongst people who buy our products for a particular marketing initiative. So what we have is: - A general customer base...