Daniel J. McDonald

J. Stat. Softw., 2024

2023

Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing.

[BibT_eX]

[DOI]

NeuroImage, April, 2023

2019

Algorithms for Estimating Trends in Global Temperature Volatility.

[BibT_eX]

[DOI]

Arash Khodadadi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Modeling trend in temperature volatility using generalized LASSO.

[BibT_eX]

[DOI]

Arash Khodadadi

CoRR, 2018

2017

Nonparametric Risk Bounds for Time-Series Forecasting.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression.

[BibT_eX]

[DOI]

Lei Ding

Bioinform., 2017

2014

Leave-one-out cross-validation is risk consistent for lasso.

[BibT_eX]

[DOI]

Darren Homrighausen

Mach. Learn., 2014

2013

The lasso, persistence, and cross-validation.

[BibT_eX]

[DOI]

Darren Homrighausen

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Time series forecasting: model evaluation and selection using nonparametric risk bounds

[BibT_eX]

[DOI]

CoRR, 2012

2011

Estimating beta-mixing coefficients.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Risk bounds for time series without strong mixing

[BibT_eX]

[DOI]

CoRR, 2011

Generalization error bounds for stationary autoregressive models

[BibT_eX]

[DOI]