February 1, 2013 . .
Shortly after making yesterday's post, I saw a visualization of apartment rental prices in Boston. As is commonly known, the three most important things in real estate are location, location, location. But location can go either way for prices, where is the good area and living on Yucca Mountain. How can we figure out which locations are good or bad without knowing anything else about Boston? We use the same method discussed in yesterday's simulation but on good old fashioned real data.
dataMining EM R statistics regression applied
January 31, 2013 . .
Observational studies have the same problem as poker, you have to play the cards you are dealt. This can be a problem when you expect people to responder differently to some variable according to some number of unobserved variables. While expectation-maximization probably won't help you in your weekly Texas Hold'em game, it can be an ace up your sleeve in data analysis.
dataMining EM R statistics regression simulation