Darren Homrighausen

Visiting Assistant Professor

Department of Statistics
Texas A&M University
Address: Blocker 438
Department of Statistics
Texas A&M University
College Station, TX
Email: (Use R)
(Use Python)
  • download this script as 'email.py'
  • navigate to that directory
  • run 'python email.py' at the command line


Over time, I've become much more interested in teaching; particularly at the masters level. I have taught and developed a wide variety of classes, ranging from undergraduate to advanced PhD levels. See below for a list of classes along with a good amount of course materials I have produced.

In my research, I have done work 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 Fall 2019Summer 2019Spring 2019Spring 2018Fall 2017Spring 2017
  • STAT 6306: Introduction to Data Science (See Spring 2018 for a version of this course)
  • STAT 6395: Statistical Machine Learning (See Fall 2015 or Fall 2014 for two previous versions of the course)
Fall 2016Spring 2016Fall 2015Spring 2015Fall 2014Spring 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 welding and metal working, riding my bike, 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.