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Daniel J McDonald
Indiana University
Associate Professor, University of British Columbia
Joined
March 2019
Names
Daniel J McDonald
(Preferred)
,
Daniel J. McDonald
Emails
****@indiana.edu
(Confirmed)
,
****@stat.ubc.ca
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Indiana University
(indiana.edu)
Present
Associate Professor
University of British Columbia
(ubc.ca)
2020
–
Present
Associate Professor
Indiana University
(indiana.edu)
2018
–
2020
PhD student
Carnegie Mellon University
(cmu.edu)
2007
–
2012
Advisors, Relations & Conflicts
PhD Advisor
Cosma Shalizi
2007
–
2012
Expertise
statistics
Present
high-dimensional inference
Present
time series
Present
risk estimation
Present
learning theory
Present
Publications
Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing
Damon D. Pham
,
Daniel J. McDonald
,
Lei Ding
,
Mary Beth Nebel
,
Amanda F. Mejia
Published: 01 Jan 2023, Last Modified: 15 May 2023
NeuroImage 2023
Readers:
Everyone
Algorithms for Estimating Trends in Global Temperature Volatility.
Arash Khodadadi
,
Daniel J. McDonald
2019 (modified: 10 Nov 2022)
AAAI2019
Readers:
Everyone
Algorithms for Estimating Trends in Global Temperature Volatility
Arash Khodadadi
,
Daniel J. McDonald
Published: 01 Jan 2019, Last Modified: 15 May 2023
AAAI 2019
Readers:
Everyone
Modeling trend in temperature volatility using generalized LASSO
Arash Khodadadi
,
Daniel J. McDonald
Published: 01 Jan 2018, Last Modified: 15 May 2023
CoRR 2018
Readers:
Everyone
Nonparametric Risk Bounds for Time-Series Forecasting
Daniel J. McDonald
,
Cosma Rohilla Shalizi
,
Mark J. Schervish
2017 (modified: 06 Nov 2022)
J. Mach. Learn. Res. 2017
Readers:
Everyone
Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression
Lei Ding
,
Daniel J. McDonald
2017 (modified: 15 Jan 2021)
Bioinform. 2017
Readers:
Everyone
Leave-one-out cross-validation is risk consistent for lasso
Darren Homrighausen
,
Daniel J. McDonald
2014 (modified: 06 Nov 2022)
Mach. Learn. 2014
Readers:
Everyone
The lasso, persistence, and cross-validation
Darren Homrighausen
,
Daniel J. McDonald
2013 (modified: 11 Nov 2022)
ICML (3) 2013
Readers:
Everyone
Time series forecasting: model evaluation and selection using nonparametric risk bounds
Daniel J. McDonald
,
Cosma Rohilla Shalizi
,
Mark J. Schervish
2012 (modified: 06 Nov 2022)
CoRR 2012
Readers:
Everyone
Estimating beta-mixing coefficients
Daniel J. McDonald
,
Cosma Rohilla Shalizi
,
Mark J. Schervish
2011 (modified: 25 Sept 2020)
AISTATS 2011
Readers:
Everyone
View all 12 publications
Co-Authors
Amanda F. Mejia
Arash Khodadadi
Cosma Rohilla Shalizi
Damon D. Pham
Darren Homrighausen
Lei Ding
Mark J. Schervish
Mary Beth Nebel