No matter what kind of traditional HPC simulation and modeling system you have, no matter what kind of fancy new machine learning AI system you have, IBM has an appliance that it wants to sell you to ...
A general and basic model for inference about characteristics of a finite population of distinguishable elements is presented from a subjectivistic-Bayesian point of view. A subjectivist analogue to ...
NSF-CBMS Regional Conference Series in Probability and Statistics, Vol. 10 (2018), pp. i-v, 1-125 (128 pages) Aarts, G., Fieberg, J., and Matthiopoulos, J. (2012). Comparative interpretation of count, ...
Creating a Proxy for Baseline Eastern Cooperative Oncology Group Performance Status in Electronic Health Records for Comparative Effectiveness Research in Advanced Non–Small Cell Lung Cancer ...
This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...
Graduate seminar, Spring 2008. Open to graduate students only. Adam Elga (follow link for contact information, office hour). Class meeting time: Mondays 2:00-4:50 Mondays. Location: Marx Hall 201 ...