Our Department

Department Alumni Fest 2016

People Directory

Subscribe to email list

Please select the email list(s) to which you wish to subscribe.

User menu

You are here

  1. Department of Statistics
  2. Our Department
  3. People Directory
  4. Publications

Publications by Daniel J. McDonald

2022

Ding L, Zentner GE, McDonald DJ. Sufficient principal component regression for genomics. Bioinformatics Advances [Internet]. 2022; 2: vbac033. URL: https://doi.org/10.1093/bioadv/vbac033
Cramer EY, Ray EL, Lopez VK, Bracher J, Brennen A, Rivadeneira AJCastro, et al. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences [Internet]. 2022; 119: e2113561119. URL: https://www.pnas.org/doi/abs/10.1073/pnas.2113561119

2021

McDonald DJ, McBride M, Gu Y, Raphael C. Markov-switching State Space Models for Uncovering Musical Interpretation. Annals of Applied Statistics [Internet]. 2021; 15: 1147–1170. URL: https://doi.org/10.1214/21-AOAS1457
Reinhart A, Brooks L, Jahja M, Rumack A, Tang J, Saeed WAl, et al. An Open Repository of Real-Time COVID-19 Indicators. Proceedings of the National Academy of Sciences [Internet]. 2021; 118: e2111452118. URL: https://doi.org/10.1073/pnas.2111452118
McDonald DJ, Bien J, Green A, Hu AJ, DeFries N, Hyun S, et al. Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?. Proceedings of the National Academy of Sciences [Internet]. 2021; 118: e2111453118. URL: https://doi.org/10.1073/pnas.2111453118
Policastro RA, McDonald DJ, Brendel VP, Zentner GE. Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR. NAR Genomics and Bioinformatics [Internet]. 2021; 3: 1–10. URL: https://doi.org/10.1093/nargab/lqab051

2020

McDonald DJ. Book Review: Sufficient Dimension Reduction: Methods and Applications with R. Journal of the American Statistical Association [Internet]. 2020; 115. URL: https://doi.org/10.1080/01621459.2020.1759990
Homrighausen D, McDonald DJ. Compressed and penalized linear regression. Journal of Computational and Graphical Statistics [Internet]. 2020; 29: 309–322. URL: https://doi.org/10.1080/10618600.2019.1660179

2019

Khodadadi A, McDonald DJ. Algorithms for Estimating Trends in Global Temperature Volatility. In: Hentenryck PV, Zhou Z-H. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19) [Internet]. Association for the Advancement of Artificial Intelligence; 2019. URL: https://doi.org/10.1609/aaai.v33i01.3301614

2018

Homrighausen D, McDonald DJ. A study on tuning parameter selection for the high-dimensional lasso. Journal of Statistical Computation and Simulation [Internet]. 2018; 88: 2865–2892. URL: http://dx.doi.org/10.1080/00949655.2018.1491575

2017

McDonald DJ. Minimax Density Estimation for Growing Dimension [Internet]. Singh A, Zhu J. Proceedings of the Twentieth International Conference on Artificial Intelligence and Statistics (AISTATS). PMLR; 2017. pp. 194–203. URL: http://proceedings.mlr.press/v54/mcdonald17a.html
Ding L, McDonald DJ. Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression. Bioinformatics [Internet]. 2017; 33: i350–i358. URL: http://dx.doi.org/10.1093/bioinformatics/btx265
Homrighausen D, McDonald DJ. Risk consistency of cross-validation for lasso-type procedures. Statistica Sinica [Internet]. 2017; 27: 1017–1036. URL: http://dx.doi.org/10.5705/ss.202015.0355
McDonald DJ, Shalizi CRohilla, Schervish M. Nonparametric risk bounds for time-series forecasting. Journal of Machine Learning Research [Internet]. 2017; 18: 1–40. URL: http://www.jmlr.org/papers/v18/13-336.html

2016

Homrighausen D, McDonald DJ. On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets. Journal of Computational and Graphical Statistics [Internet]. 2016; 25: 344–362. URL: http://dx.doi.org/10.1080/10618600.2014.995799

2015

Loewenstein G, Krishnamurti T, Kopsic J, McDonald DJ. Does Increased Sexual Frequency Enhance Happiness?. Journal of Economic Behavior and Organization [Internet]. 2015; 116: 206–218. URL: http://dx.doi.org/10.1016/j.jebo.2015.04.021
McDonald DJ, Shalizi CRohilla, Schervish M. Estimating beta-mixing coefficients via histograms. Electronic Journal of Statistics [Internet]. 2015; 9: 2855–2883. URL: http://dx.doi.org/10.1214/15-EJS1094

2014

Homrighausen D, McDonald DJ. Leave-one-out cross-validation is risk consistent for lasso. Machine Learning [Internet]. 2014; 97: 65–78. URL: http://dx.doi.org/10.1007/s10994-014-5438-z

2013

Homrighausen D, McDonald DJ. The lasso, persistence, and cross-validation. In: Dasgupta S, McAllester D. Proceedings of the Thirtieth International Conference on Machine Learning (ICML) [Internet]. PMLR; 2013. pp. 1031–1039. URL: http://proceedings.mlr.press/v28/homrighausen13.html

2012

McDonald DJ. Generalization error bounds for state-space models. Carnegie Mellon University; 2012.
J. Jue JS, Press MJ, McDonald DJ, Volpp KG, Asch DA, Mitra N, et al. The impact of price discounts and calorie messaging on beverage consumption: A multi-site field study. Preventive Medicine [Internet]. 2012; 55: 629–633. URL: http://dx.doi.org/10.1016/j.ypmed.2012.10.009

2011

McDonald DJ, Shalizi CR, Schervish M. Estimating beta-mixing coefficients. In: Gordon G, Dunson D, Dudík M. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS) [Internet]. PMLR; 2011. pp. 516–524. URL: http://proceedings.mlr.press/v15/mcdonald11a.html

2008

McDonald DJ, Thornton DL. Primer on the Mortgage Market and Mortgage Finance. The Federal Reserve Bank of St. Louis Review [Internet]. 2008; 90: 31–46. URL: https://files.stlouisfed.org/files/htdocs/publications/review/08/01/McDonald.pdf