Tags » Terminology And Techniques And More!

Much ado about AIC

While studying regression in my first year of PhD, me and my classmates were perplexed about AIC for a brief moment. Let us revisit AIC for a moment: 261 more words

Terminology And Techniques And More!

Comments on Online Coursework Platforms

Some thoughts about online coursework platforms:

I’ve been taking some courses on Coursera this summer, and sometimes I (shamelessly) refer back to college intro coursework videos from Khan Academy(KA). 338 more words

Terminology And Techniques And More!

How can statisticians help psychologists do their research better?

How can statisticians help psychologists do their research better?

Posted by Andrew on 17 May 2013, 9:03 am

I received two emails yesterday on related topics. 1,960 more words

Terminology And Techniques And More!

3% of doctors receive half the complaints

3% of doctors receive half the complaints

SOME DOCTORS GET COMPLAINED ABOUT MORE THAN OTHERS. SPECIALTY MATTERS.

One topic in medical decision making that most people can relate to is the problem of choosing a doctor, especially when moving to a new town in which one knows few people from whom to receive references. 424 more words

Terminology And Techniques And More!

Everyone’s trading bias for variance at some point, it’s just done at different places in the analyses

Everyone’s trading bias for variance at some point, it’s just done at different places in the analyses

Posted by Andrew on 14 March 2013, 9:50 am… 1,254 more words

Terminology And Techniques And More!

That controversial claim that high genetic diversity, or low genetic diversity, is bad for the economy

That controversial claim that high genetic diversity, or low genetic diversity, is bad for the economy

Posted by Andrew on 10 January 2013, 10:43 am… 1,465 more words

Terminology And Techniques And More!

Mean Squared Error: Quantifying Performance Issues

Mean Squared Error (MSE)

In plain English: When you are fitting a model to your data, you are naturally interested in how “far” your estimated model parameters are from the true values. 230 more words

Terminology And Techniques And More!