Daniel J. McDonald
Daniel J. McDonald
Associate Professor of Statistics, University of British Columbia
Verified email at stat.ubc.ca - Homepage
Title
Cited by
Cited by
Year
A primer on the mortgage market and mortgage finance
DJ McDonald, DL Thornton
Review-Federal Reserve Bank of Saint Louis 90 (1), 31, 2008
552008
Does increased sexual frequency enhance happiness?
G Loewenstein, T Krishnamurti, J Kopsic, D Mcdonald
Journal of Economic Behavior & Organization 116, 206-218, 2015
412015
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
322012
Leave-one-out cross-validation is risk consistent for lasso
D Homrighausen, DJ McDonald
Machine learning 97 (1-2), 65-78, 2014
302014
The lasso, persistence, and cross-validation
D Homrighausen, D McDonald
International Conference on Machine Learning, 1031-1039, 2013
282013
Estimating beta-mixing coefficients
D Mcdonald, C Shalizi, M Schervish
Proceedings of the Fourteenth International Conference on Artificial …, 2011
262011
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
162015
Risk-consistency of cross-validation with lasso-type procedures
D Homrighausen, DJ McDonald
Statistica Sinica 27 (3), 1017-1036, 2017
142017
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
132016
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
62011
Generalization error bounds for stationary autoregressive models
DJ McDonald, CR Shalizi, M Schervish
arXiv preprint arXiv:1103.0942, 2011
62011
Rademacher Complexity of Stationary Sequences
DJ McDonald, CR Shalizi
arXiv preprint arXiv:1106.0730, 2017
52017
Spectral approximations in machine learning
D Homrighausen, DJ McDonald
arXiv preprint arXiv:1107.4340, 2011
52011
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
42018
Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression
L Ding, DJ McDonald
Bioinformatics 33 (14), i350-i358, 2017
42017
Minimax Density Estimation for Growing Dimension
DJ McDonald
AISTATS 54, 194-203, 2017
22017
Risk bounds for time series without strong mixing
DJ McDonald, CR Shalizi, M Schervish
stat 1050, 3, 2011
22011
Compressed and Penalized Linear Regression
D Homrighausen, DJ McDonald
Journal of Computational and Graphical Statistics 29 (2), 309-322, 2020
12020
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