My ongoing research interests are widely varied but are focused around common themes: Bayesian computation, spatiotemporal modeling, sports analytics, and research in ecological and environmental settings. Below are select publications from each category, a complete list of research activities can be found on my CV.

Bayesian Computation

  •  Leman, S., and Hoegh, A. “Contributed Discussion on Efficient Metropolis- Hastings Proposal Mechanisms for Bayesian Regression Tree Models by Pratola.” Bayesian Analysis, Vol.11(3), 932 – 934, 2016. 
  • Hoegh, A., Leman, S,. Saraf, P., Ramakrishnan, N. “Bayesian Model Fusion for Forecasting Civil Unrest”. Technometrics, Vol. 57(3) 332-340, 2015.
    *Winner of the 2016 Youden Award for best expositionary paper in Technometrics

Spatiotemporal Modeling

  • Hoegh, A., Leman, S., Ferreira, M.A.R. “Spatiotemporal Model Fusion: Multiscale Modeling of Civil Unrest.” The Journal of the Royal Statistical Society: Series C, Vol. 65(4), 529 – 545, 2016. 

Sports Analytics

  • Hoegh, A., Carzolio, M., Crandell, I., Hu, X., Roberts, L., Song, Y., Leman, S. “Nearest-Neighbor Matchup Effects: Accounting for Team Matchups for Predicting March Madness.” Journal of Quantitative Analysis in Sports, 11 (1), 29-37, 2015. 
  • Hoegh, A. “Defining the Performance Coefficient in Golf: A Case Study at the 2009 Masters” Journal of Quantitative Analysis in Sports, 7.(2):Article 12, 2011. 

Ecological and Environmental Statistics

  • Hoegh, A., Leman, S. “Assessing Winter Damage Risk to East Coast Vineyards.” Journal of Applied Statistics, Vol. 42(4) 834-835, 2015. 

  • Hoegh, A., Crandell, I., Klopfer, S. Fies,. M. “Model Selection with a Discrete Mixture Prior for Missing Data: Policy Considerations for Fox Survival in Enclosures.” Journal of Applied Statistics, to appear.