Daniel J. McDonald, Ph.D.

Affiliations: 
2012 Carnegie Mellon University, Pittsburgh, PA 
Area:
Statistics, General Economics
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Mark Schervish grad student 2012 Carnegie Mellon
 (Generalization error bounds for time series.)
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Publications

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Homrighausen D, McDonald DJ. (2016) On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Datasets Journal of Computational and Graphical Statistics. 25: 344-362
McDonald DJ, Shalizi CR, Schervish M. (2015) Estimating beta-mixing coefficients via histograms Electronic Journal of Statistics. 9: 2855-2883
Homrighausen D, McDonald DJ. (2014) Leave-one-out cross-validation is risk consistent for lasso Machine Learning. 97: 65-78
McDonald DJ, Shalizi CR, Schervish M. (2011) Estimating beta-mixing coefficients. Jmlr Workshop and Conference Proceedings. 15: 516-524
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