Improving imaging to get the best possible picture of cancer
Have you ever had to retake a photograph on your phone but the sun was shining way too
brightly in the background, causing the subject to appear with a halo? Maybe your arm just
wasn’t within reach and those 10 family members just couldn’t fit inside the frame, leaving
someone just ever so slightly on the outskirts?
Making the Joint Statistical Meetings truly “joint” with a broader audience
I recently got back from the Joint Statistical Meetings in Washington, D.C. where I talked about making audiences concrete and motivating authentic arguments for statistics students (and spread the word about MathStatBites of course). This is a big conference where statisticians from all over the world get together to talk shop, and it was back in person after a few years of going virtual.
Navigating the “Black Hole of Statistics”: Model Selection
A statistical toolbox in some ways is like an endless buffet. There are tons of statistical methods out there, ranging from linear models to statistical tests to neural networks. In addition, with increasing amounts of data, new applications from other fields, and increased computational power, methods are constantly being created or improved upon. Having so many possibilities, of course, has its perks. But researchers inevitably must face this daunting question: what method do you choose and why?
Welcome to MathStatBites!
Hello everyone and welcome to MathStatBites!
We’re a blog site dedicated to sharing current research from the fields of mathematics and statistics.