# expectation-maximization

1. ### Penalized EM algorithm

Good day I am currently working through the following paper. I'm trying to write out the proof for how they obtained equation 3. I have attached a picture of my attempt. (I am new to this discussion board and can't seem to figure out how to insert latex code. That is why I attached a picture...
2. ### Missing value imputation on a non-normal distribution - EM vs Regression? Or else?

Hi, Bit green when it comes to some of these methods, so please be gentle... but I'll try to provide as much info and concisely as possible. Any help sincerely appreciated. I have a non-normal dataset with missing at random data and am trying to determine which imputation method to use. I...
3. ### Expectation eaximization with repeated measures data

I use SPSS 21. I have repeated measures data with multiple time points. After the first time point every other time point (two follow-up time points) has significant participant attrition (close to 6oo participants at baseline and around 400 at each follow-up time point). I would like to use...
4. ### Expectation-Maximization-Algorithm: example exponential family

Hi everyone! I’m in desperate need of an example (one with actual numbers!) for the EM-algorithm concerning exponential families. I spend a lot of time trying to find one, but unfortunately didn’t succeed. The only one I found, is a very easy one, that I unfortunately don’t fully understand...
5. ### Is it possible to Reduce/Correct Bias through EM algorithm?

I am dealing with few overdispersed count models and using mixed Poisson distributions to deal with overdispsered data. I've used MLE technique to estimate the paramters, however ML estimates are lower biased. I am trying to correct the bias using advanced technquies. I have started to read...
6. ### Properties of expectation

I am working on a pricing methodology under certain conditions. Suppose we have a population of size N and this population has a distribution of reservation prices f(p) . Now the problem of the firm becomes to maximize R = p N \int_p^{\infty} f(p) Or to maximize log(R) = log(p) +...
7. ### Replacing missing data with EM

Hello everyone, For my undergraduate dissertation in Psychology I have conducted research testing the executive function (EF) skills of 40 children, gaining five EF scores. Several children did not complete all the tests, so I have some missing data (13.75% of values). I have been browsing...