I like statistics. I mean, really like it. I enjoy running models, interpreting results, and graphing cool figures. My favorite though is the math that goes into it all. I love to learn about why and how our statistics work. [I enjoyed the math so much that I pickedup a graduate certificate in applied mathematics on my way to my degree.] I’m currently working on a paper detailing ways to get parameter estimates (e.g., least squares, maximum likelihood ( via newton’s method), and bayesian estimation (via Rosenbluth [AKA Metropolis] algorithm). I hope you’ll take the time to read the article, or watch my youtube videos on the derivaiton of some of these fun concepts. If you’re reading this early in the existance of my site, I might not have links up yet (apologies!). Thanks for stopping in!