Fingerprinting the datacenter: automated classification of performance crises P Bodik, M Goldszmidt, A Fox, DB Woodard, H Andersen Proceedings of the 5th European conference on Computer systems, 111-124, 2010 | 337 | 2010 |
Dynamic pricing and matching in ride‐hailing platforms C Yan, H Zhu, N Korolko, D Woodard Naval Research Logistics (NRL) 67 (8), 705-724, 2020 | 334 | 2020 |
Predicting travel time reliability using mobile phone GPS data D Woodard, G Nogin, P Koch, D Racz, M Goldszmidt, E Horvitz Transportation Research Part C: Emerging Technologies 75, 30-44, 2017 | 177 | 2017 |
Predicting bike usage for new york city’s bike sharing system D Singhvi, S Singhvi, PI Frazier, SG Henderson, E O'Mahony, DB Shmoys, ... Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015 | 159 | 2015 |
Forecasting emergency medical service call arrival rates DS Matteson, MW McLean, DB Woodard, SG Henderson | 146 | 2011 |
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 | 142 | 2013 |
Conditions for rapid mixing of parallel and simulated tempering on multimodal distributions DB Woodard, SC Schmidler, M Huber | 117 | 2009 |
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 | 86 | 2015 |
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 | 82 | 2016 |
Predicting and utilizing variability of travel times in mapping services D Woodard, EJ Horvitz, G Nogin, PB Koch, D Racz, M Goldszmidt US Patent 10,175,054, 2019 | 73 | 2019 |
Sufficient conditions for torpid mixing of parallel and simulated tempering D Woodard, S Schmidler, M Huber | 73 | 2009 |
Stationarity of generalized autoregressive moving average models DB Woodard, DS Matteson, SG Henderson | 64* | 2011 |
The use of a single pseudo-sample in approximate Bayesian computation L Bornn, NS Pillai, A Smith, D Woodard Statistics and Computing 27, 583-590, 2017 | 51 | 2017 |
Performance assessment for radiologists interpreting screening mammography DB Woodard, AE Gelfand, WE Barlow, JG Elmore Statistics in medicine 26 (7), 1532-1551, 2007 | 36 | 2007 |
Reducing wait time of providers of ride services using zone scoring E O'mahony, B Goldman, JM Nickels, L Korsos, C Wilkins, D Woodard, ... US Patent App. 15/018,030, 2017 | 35 | 2017 |
Convergence rate of markov chain methods for genomic motif discovery DB Woodard, JS Rosenthal | 16 | 2013 |
Hierarchical adaptive regression kernels for regression with functional predictors DB Woodard, C Crainiceanu, D Ruppert Journal of Computational and Graphical Statistics 22 (4), 777-800, 2013 | 14 | 2013 |
Online model-based clustering for crisis identification in distributed computing DB Woodard, M Goldszmidt Journal of the American Statistical Association 106 (493), 49-60, 2011 | 13 | 2011 |
Spatial inference of nitrate concentrations in groundwater DB Woodard, RL Wolpert, MA O’Connell Journal of agricultural, biological, and environmental statistics 15, 209-227, 2010 | 12 | 2010 |
Latent factor regression models for grouped outcomes DB Woodard, TMT Love, SW Thurston, D Ruppert, S Sathyanarayana, ... Biometrics 69 (3), 785-794, 2013 | 11 | 2013 |