Daniel J. McDonald

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 5

Top Topics

Nearest Neighbor Classifiers

Cross Validated

Ridge Regression

Top Venues

Publications

Damon D. Pham, Daniel J. McDonald, Lei Ding, Mary Beth Nebel, Amanda F. Mejia
Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing. NeuroImage 270 (2023)
Arash Khodadadi, Daniel J. McDonald
Algorithms for Estimating Trends in Global Temperature Volatility. AAAI (2019)
Arash Khodadadi, Daniel J. McDonald
Modeling trend in temperature volatility using generalized LASSO. CoRR (2018)
Lei Ding, Daniel J. McDonald
Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression. Bioinform. 33 (14) (2017)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Nonparametric Risk Bounds for Time-Series Forecasting. J. Mach. Learn. Res. 18 (2017)
Darren Homrighausen, Daniel J. McDonald
Leave-one-out cross-validation is risk consistent for lasso. Mach. Learn. 97 (1-2) (2014)
Darren Homrighausen, Daniel J. McDonald
The lasso, persistence, and cross-validation. ICML (3) (2013)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Time series forecasting: model evaluation and selection using nonparametric risk bounds CoRR (2012)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Generalization error bounds for stationary autoregressive models CoRR (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Estimating beta-mixing coefficients. AISTATS (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Estimating beta-mixing coefficients CoRR (2011)
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish
Risk bounds for time series without strong mixing CoRR (2011)