David S. Matteson
David S. Matteson
Professor of Statistics and Data Science, Cornell University
Geverifieerd e-mailadres voor cornell.edu - Homepage
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Statistics and Data Analysis for Financial Engineering: with R examples
D Ruppert, DS Matteson
Springer, 2015
523*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
4002014
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
1972014
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
109*2017
Forecasting emergency medical service call arrival rates
DS Matteson, MW McLean, DB Woodard, SG Henderson
Annals of Applied Statistics 5 (2B), 1379-1406, 2011
1092011
Travel time estimation for ambulances using Bayesian data augmentation
BS Westgate, DB Woodard, DS Matteson, SG Henderson
Annals of Applied Statistics 7 (2), 1139-1161, 2013
992013
Dynamic orthogonal components for multivariate time series
DS Matteson, RS Tsay
Journal of the American Statistical Association 106 (496), 1450-1463, 2011
79*2011
Independent component analysis via distance covariance
DS Matteson, RS Tsay
Journal of the American Statistical Association 112 (518), 623-637, 2017
742017
High dimensional forecasting via interpretable vector autoregression
WB Nicholson, I Wilms, J Bien, DS Matteson
Journal of Machine Learning Research 21 (166), 1-52, 2020
57*2020
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
542016
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
532016
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
532015
Stationarity of generalized autoregressive moving average models
DB Woodard, DS Matteson, SG Henderson
Electronic Journal of Statistics 5, 800-828, 2011
49*2011
Dynamic shrinkage processes
DR Kowal, DS Matteson, D Ruppert
Journal of the Royal Statistical Society: Series B 81 (4), 781–804, 2019
442019
A Bayesian multivariate functional dynamic linear model
DR Kowal, DS Matteson, D Ruppert
Journal of the American Statistical Association 112 (518), 733-744, 2017
382017
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
382014
Functional autoregression for sparsely sampled data
DR Kowal, DS Matteson, D Ruppert
Journal of Business & Economic Statistics 37 (1), 97-109, 2019
362019
Predicting ambulance demand: A spatio-temporal kernel approach
Z Zhou, DS Matteson
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
352015
An evaluation of independent component analyses with an application to resting‐state fMRI
BB Risk, DS Matteson, D Ruppert, A Eloyan, BS Caffo
Biometrics 70 (1), 224-236, 2014
242014
Time-series models of dynamic volatility and correlation
DS Matteson, D Ruppert
IEEE Signal Processing Magazine 28 (5), 72-82, 2011
232011
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