Darren Homrighausen

Note: This website is no longer being updated (Summer 2016)

Statistics Department
Colorado State University
Address: 204 Statistics Building
Department of Statistics
Colorado State University
Fort Collins, CO 80523
Phone: (970) (Office)
Email: darrenho(AT)stat.colostate.edu

I am actively working in several applied and theoretical areas. I have worked extensively on developing both methods and theory for solving various problems in astronomy and cosmology. This research introduced me to the field known as inverse problems, where the observed data are actually noisy version of smooth functionals of the object of interest. Additionally, I have spent a fair amount of time investigating the prediction risk implications of empirical tuning parameter selection for lasso-type methods More recently, I have become interested in addressing some of the philosophies that currently dominate the field of macroeconomic forecasting. Most notably, the overparameterization and complexity that results the over reliance on microeconomic foundations for doing predictions. Lastly, I work on examining the statistical implications of computational approximations. More specifically, I have a grant for examining the intriguing possibility that these approximations can actually improve statistical performance.

For publications, click here.

Teaching Spring 2016Fall 2015Spring 2015Fall 2014
  • STAT 675: Statistical Machine Learning
Spring 2014
  • STAT 460: Applied Multivariate Analysis
Fall 2013Spring 2013
  • STAT 460: Applied Multivariate Analysis
Fall 2012
Bio I have a bachelors degree from the University of Colorado in economics and math, and a masters and Ph.D. from Carnegie Mellon University in statistics, under the direction of Chris Genovese. Outside of academia, I enjoy hiking, running, weight training, playing and watching sports, and, perhaps most of all, coffee.

Students If you would like to work with me, please send me an email with a brief description of your research interests. We'll set up a meeting to chat.