Publications

  • Horseshoe Regularization for Feature Subset Selection. Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, and Brandon Willard. arXiv:1702.07400 [stat], February 2017. [URL], arXiv:1702.07400. [ Bibtex ]
  • Prediction risk for global-local shrinkage regression. Anindya Bhadra, Jyotishka Datta, Yunfan Li, Nicholas G. Polson, and Brandon Willard. arXiv preprint arXiv:1605.04796, 2016. [URL]. [ Bibtex ]
  • Global-Local Mixtures. Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, and Brandon Willard. arXiv preprint arXiv:1604.07487, 2016. [URL]. [ Bibtex ]
  • Default Bayesian analysis with global-local shrinkage priors. Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, and Brandon Willard. Biometrika, 103(4):955–969, December 2016. [URL]. [ Bibtex ]
  • The Horseshoe+ Estimator of Ultra-Sparse Signals. Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, and Brandon Willard. Bayesian Analysis, 2016. [URL]. [ Bibtex ]
  • A Statistical Theory of Deep Learning via Proximal Splitting. Nicholas G. Polson, Brandon T. Willard, and Massoud Heidari. arXiv preprint arXiv:1509.06061, 2015. [URL]. [ Bibtex ]
  • Proximal Algorithms in Statistics and Machine Learning. Nicholas G. Polson, James G. Scott, and Brandon T. Willard. Statistical Science, 30(4):559–581, November 2015. [URL]. [ Bibtex ]
  • Real-time On and Off Road GPS Tracking. Brandon T. Willard. arXiv preprint arXiv:1303.1883, 2013. [URL]. [ Bibtex ]

Reports

  • Recursive Bayesian Computation of the Dynamic Logit Model. Brandon T. Willard. Technical Report, University of Chicago, December 2014. [URL]. [ Bibtex ]
  • Functions Alternative to the Likelihood. Brandon T. Willard. Technical Report, Cornell, Wayne State, 2007. [ Bibtex ]
  • Computation of NRQCD Parameters in Potential Models. Brandon Willard. Technical Report, Cornell, Wayne State, 2004. [URL]. [ Bibtex ]