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David S. Matteson
David S. Matteson
Professor, Statistics & Data Science, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Statistics and Data Analysis for Financial Engineering: with R examples
D Ruppert, DS Matteson
Springer, 2015
724*2015
A nonparametric approach for multiple change point analysis of multivariate data
DS Matteson, NA James
Journal of the American Statistical Association 109 (505), 334-345, 2014
6162014
ecp: An R package for nonparametric multiple change point analysis of multivariate data
NA James, DS Matteson
Journal of Statistical Software 62 (7), 1-25, 2014
3082014
VARX-L: Structured regularization for large vector autoregressions with exogenous variables
WB Nicholson, DS Matteson, J Bien
International Journal of Forecasting 33 (3), 627-651, 2017
224*2017
Independent component analysis via distance covariance
DS Matteson, RS Tsay
Journal of the American Statistical Association 112 (518), 623-637, 2017
1462017
Forecasting emergency medical service call arrival rates
DS Matteson, MW McLean, DB Woodard, SG Henderson
The Annals of Applied Statistics 5 (2B), 1379-1406, 2011
1442011
High Dimensional Forecasting via Interpretable Vector Autoregression
WB Nicholson, I Wilms, J Bien, DS Matteson
J. Mach. Learn. Res. 21, 166:1-166:52, 2020
1412020
Travel time estimation for ambulances using Bayesian data augmentation
BS Westgate, DB Woodard, DS Matteson, SG Henderson
The Annals of Applied Statistics, 1139-1161, 2013
1402013
Dynamic orthogonal components for multivariate time series
DS Matteson, RS Tsay
Journal of the American Statistical Association 106 (496), 1450-1463, 2011
982011
Dynamic shrinkage processes
DR Kowal, DS Matteson, D Ruppert
Journal of the Royal Statistical Society: Series B 81 (4), 781–804, 2019
952019
A spatio-temporal point process model for ambulance demand
Z Zhou, DS Matteson, DB Woodard, SG Henderson, AC Micheas
Journal of the American Statistical Association 110 (509), 6-15, 2015
842015
Leveraging cloud data to mitigate user experience from ‘breaking bad’
NA James, A Kejariwal, DS Matteson
2016 IEEE International Conference on Big Data (Big Data), 3499-3508, 2016
822016
Large-network travel time distribution estimation for ambulances
BS Westgate, DB Woodard, DS Matteson, SG Henderson
European Journal of Operational Research 252 (1), 322-333, 2016
812016
Probabilistic transformer for time series analysis
B Tang, DS Matteson
Advances in Neural Information Processing Systems 34, 23592-23608, 2021
762021
A Bayesian multivariate functional dynamic linear model
DR Kowal, DS Matteson, D Ruppert
Journal of the American Statistical Association 112 (518), 733-744, 2017
722017
Disability-inclusive employer practices and hiring of individuals with disabilities
WA Erickson, S von Schrader, SM Bruyère, SA VanLooy, DS Matteson
Rehabilitation Research, Policy, and Education 28 (4), 309-328, 2014
702014
Predicting ambulance demand: A spatio-temporal kernel approach
Z Zhou, DS Matteson
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
662015
Stationarity of generalized autoregressive moving average models
DB Woodard, DS Matteson, SG Henderson
Electronic Journal of Statistics 5, 800-828, 2011
63*2011
Functional autoregression for sparsely sampled data
DR Kowal, DS Matteson, D Ruppert
Journal of Business & Economic Statistics 37 (1), 97-109, 2019
512019
BigVAR: Tools for modeling sparse high-dimensional multivariate time series
W Nicholson, DS Matteson, J Bien
arXiv preprint arXiv:1702.07094, 2017
51*2017
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