Jun 17, 2013 — Maximum Likelihood Estimation (MLE) — Maximum Likelihood Estimation is a technique that we use to estimate the parameters for some statistical model.  For example, let’s say that we have a truckload of oatmeal raisin cookies, and we think that we can predict the number of... Read more

Jun 16, 2013 — Signal to Noise Ratio (SNR) — Sometimes, things are exactly what they seem.  This is one of those cases  The signal to noise ratio (SNR) is a metric that is used in MRI to describe how much of a signal is noise, and how much is... Read more

Jun 16, 2013 — Partial Volume Effect — Partial Volume Effect in medical imaging speaks to the idea that we may not detect signal in small volumes or regions when our resolution is limited.  If you are a researcher that is totally crazy about the amygdala, for example,... Read more

Jun 16, 2013 — Cross Validation — In a perfect world, we would be able to ask any question that our little hearts desire, and then have available immediately infinite numbers of datasets to test our hypothesis on, and know exactly the model and parameters to use.... Read more