| A primer on the mortgage market and mortgage finance DJ McDonald, DL Thornton Review-Federal Reserve Bank of Saint Louis 90 (1), 31, 2008 | 55 | 2008 |
| Does increased sexual frequency enhance happiness? G Loewenstein, T Krishnamurti, J Kopsic, D Mcdonald Journal of Economic Behavior & Organization 116, 206-218, 2015 | 41 | 2015 |
| The impact of price discounts and calorie messaging on beverage consumption: a multi-site field study JJS Jue, MJ Press, D McDonald, KG Volpp, DA Asch, N Mitra, ... Preventive medicine 55 (6), 629-633, 2012 | 32 | 2012 |
| Leave-one-out cross-validation is risk consistent for lasso D Homrighausen, DJ McDonald Machine learning 97 (1-2), 65-78, 2014 | 30 | 2014 |
| The lasso, persistence, and cross-validation D Homrighausen, D McDonald International Conference on Machine Learning, 1031-1039, 2013 | 28 | 2013 |
| Estimating beta-mixing coefficients D Mcdonald, C Shalizi, M Schervish Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 26 | 2011 |
| Nonparametric risk bounds for time-series forecasting DJ McDonald, CR Shalizi, M Schervish The Journal of Machine Learning Research 18 (1), 1044-1083, 2017 | 25* | 2017 |
| Estimating beta-mixing coefficients via histograms DJ McDonald, CR Shalizi, M Schervish Electronic Journal of Statistics 9 (2), 2855-2883, 2015 | 16 | 2015 |
| Risk-consistency of cross-validation with lasso-type procedures D Homrighausen, DJ McDonald Statistica Sinica 27 (3), 1017-1036, 2017 | 14 | 2017 |
| On the Nyström and column-sampling methods for the approximate principal components analysis of large datasets D Homrighausen, DJ McDonald Journal of Computational and Graphical Statistics 25 (2), 344-362, 2016 | 13 | 2016 |
| Generalization error bounds for time series DJ McDonald | 7* | 2012 |
| Estimated VC dimension for risk bounds DJ McDonald, CR Shalizi, M Schervish arXiv preprint arXiv:1111.3404, 2011 | 6 | 2011 |
| Generalization error bounds for stationary autoregressive models DJ McDonald, CR Shalizi, M Schervish arXiv preprint arXiv:1103.0942, 2011 | 6 | 2011 |
| Rademacher Complexity of Stationary Sequences DJ McDonald, CR Shalizi arXiv preprint arXiv:1106.0730, 2017 | 5 | 2017 |
| Spectral approximations in machine learning D Homrighausen, DJ McDonald arXiv preprint arXiv:1107.4340, 2011 | 5 | 2011 |
| A study on tuning parameter selection for the high-dimensional lasso D Homrighausen, DJ McDonald Journal of Statistical Computation and Simulation 88 (15), 2865-2892, 2018 | 4 | 2018 |
| Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression L Ding, DJ McDonald Bioinformatics 33 (14), i350-i358, 2017 | 4 | 2017 |
| Minimax Density Estimation for Growing Dimension DJ McDonald AISTATS 54, 194-203, 2017 | 2 | 2017 |
| Risk bounds for time series without strong mixing DJ McDonald, CR Shalizi, M Schervish stat 1050, 3, 2011 | 2 | 2011 |
| Compressed and Penalized Linear Regression D Homrighausen, DJ McDonald Journal of Computational and Graphical Statistics 29 (2), 309-322, 2020 | 1 | 2020 |
Cosma Rohilla ShaliziProfessor of Statistics, Carnegie Mellon UniversityVerified email at cmu.edu
