Tags » Markov Random Field

Medical Imaging, Applied Math, and Madison Holleran

Medical imaging is just a cool field. The importance of the applications is clear enough, but I’m talking about the conceptual and engineering-level foundations. Some of the key problem areas include… 260 more words

Medical Imaging

Parallel Gibbs sampling using conditional independence and graph colorings

A Gibbs sampler is a sequential method for producing samples from the joint distribution of several variables by sampling from the simpler conditional distributions of each variable. 276 more words

Statistics

Big Data, Big Models, it is a Big Deal

I’ve submitted a poster to the¬†Network on Computational Statistics and Machine Learning (NCSML) workshop “Big Data, Big Models, it is a Big Deal” at the University of Warwick on the 1st & 2nd of September. 297 more words

MCMC

JSM 2014, Boston [#2]

Day #2 at JSM started quite early as I had to be on site by 7am for the CHANCE editors breakfast. No running then, except to Porter metro station. 388 more words

Statistics

ABC in Sydney

I’ve been invited to give two seminars this week at UNSW. Full details available here:

http://web.maths.unsw.edu.au/~scott/ABC_in_Sydney.html

1:30pm, Thursday July 3: Intro to approximate Bayesian computation… 132 more words

MCMC