Abolfazl Safikhani

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camille kamgaThe City College of New YorkAdresse e-mail validée de utrc2.org
Bahman MoghimiPostdoctoral Research Associate at City University of New YorkAdresse e-mail validée de ccny.cuny.edu
George MichailidisProfessor of Statistics and Computer ScienceAdresse e-mail validée de ufl.edu
Sabiheh FaghihCCNYAdresse e-mail validée de citymail.cuny.edu
Yue BaiUniversity of FloridaAdresse e-mail validée de ufl.edu
Ali ShojaieProfessor, University of WashingtonAdresse e-mail validée de uw.edu
Peiliang BaiMicrosoftAdresse e-mail validée de microsoft.com
Sandeep MudigondaUTRC, CUNYAdresse e-mail validée de utrc2.org
Emre TepeAssistant Professor, University of FloridaAdresse e-mail validée de ufl.edu
Alla SikorskiiMichigan State UniversityAdresse e-mail validée de msu.edu
Gwen WyattMichigan State UniversityAdresse e-mail validée de hc.msu.edu
Abhishek KaulDepartment of Mathematics and Statistics, Washington State UniversityAdresse e-mail validée de wsu.edu
David S. MattesonProfessor, Statistics & Data Science, Cornell UniversityAdresse e-mail validée de cornell.edu
Pawel PolakStony Brook UniversityAdresse e-mail validée de stonybrook.edu
Zhengyuan ZhuProfessor of Statistics, Iowa State UniversityAdresse e-mail validée de iastate.edu
Yimin XiaoDepartment of Statistics and Probability, Michigan State UniversityAdresse e-mail validée de stt.msu.edu
Xiudi LiDivision of Biostatistics, University of California BerkeleyAdresse e-mail validée de berkeley.edu
Ping-Shou ZhongUniversity of Illinois at ChicagoAdresse e-mail validée de uic.edu
Wei HaoChangsha University of Science and Technology

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Abolfazl Safikhani

Assistant professor of Statistics, George Mason University

Adresse e-mail validée de gmu.edu - Page d'accueil

network modeling high-dimensional statistics spatio-temporal models transfer learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Investigation on range anxiety and safety buffer of battery electric vehicle drivers Q Yuan, W Hao, H Su, G Bing, X Gui, A Safikhani Journal of Advanced Transportation 2018 (1), 8301209, 2018	90	2018
Joint structural break detection and parameter estimation in high-dimensional nonstationary VAR models A Safikhani, A Shojaie Journal of the American Statistical Association 117 (537), 251-264, 2022	86	2022
Spatio-temporal modeling of yellow taxi demands in New York City using generalized STAR models A Safikhani, C Kamga, S Mudigonda, SS Faghih, B Moghimi International Journal of Forecasting 36 (3), 1138-1148, 2020	51	2020
Cycle-length prediction in actuated traffic-signal control using ARIMA model B Moghimi, A Safikhani, C Kamga, W Hao Journal of Computing in Civil Engineering 32 (2), 04017083, 2018	36	2018
Predicting short-term uber demand in new york city using spatiotemporal modeling SS Faghih, A Safikhani, B Moghimi, C Kamga Journal of Computing in Civil Engineering 33 (3), 05019002, 2019	31	2019
Multiple change points detection in low rank and sparse high dimensional vector autoregressive models P Bai, A Safikhani, G Michailidis IEEE Transactions on Signal Processing 68, 3074-3089, 2020	27	2020
Non-stationary spatio-temporal modeling of COVID-19 progression in the US Y Bai, A Safikhani, G Michailidis medRxiv, 2020.09. 14.20194548, 2020	22	2020
Short-term prediction of signal cycle on an arterial with actuated-uncoordinated control using sparse time series models B Moghimi, A Safikhani, C Kamga, W Hao, J Ma IEEE Transactions on Intelligent Transportation Systems 20 (8), 2976-2985, 2018	22	2018
PROMIS and legacy measures compared in a supportive care intervention for breast cancer patients and caregivers: Experience from a randomized trial A Sikorskii, D Victorson, P O'Connor, V Hankin, A Safikhani, T Crane, ... Psycho‐Oncology 27 (9), 2265-2273, 2018	22	2018
Machine learning application to spatio-temporal modeling of urban growth Y Kim, A Safikhani, E Tepe Computers, Environment and Urban Systems 94, 101801, 2022	21	2022
Inference on the change point under a high dimensional sparse mean shift A Kaul, SB Fotopoulos, VK Jandhyala, A Safikhani Electronic journal of statistics 15 (1), 71-134, 2021	18	2021
Taxi and mobility: Modeling taxi demand using ARMA and linear regression S Faghih, A Shah, Z Wang, A Safikhani, C Kamga Procedia Computer Science 177, 186-195, 2020	14	2020
Spatio-temporal modeling of parcel-level land-use changes using machine learning methods E Tepe, A Safikhani Sustainable Cities and Society 90, 104390, 2023	13	2023
A unified framework for change point detection in high-dimensional linear models Y Bai, A Safikhani Statistica Sinica 33, 1721-1748, 2023	12	2023
Theoretical analysis of deep neural networks for temporally dependent observations M Ma, A Safikhani Advances in Neural Information Processing Systems 35, 37324-37334, 2022	12	2022
Multiple change point detection in reduced rank high dimensional vector autoregressive models P Bai, A Safikhani, G Michailidis Journal of the American Statistical Association 118 (544), 2776-2792, 2023	11	2023
Predicting short-term Uber demand using spatio-temporal modeling: A New York City Case Study SS Faghih, A Safikhani, B Moghimi, C Kamga arXiv preprint arXiv:1712.02001, 2017	11	2017
Fast and scalable algorithm for detection of structural breaks in big var models A Safikhani, Y Bai, G Michailidis Journal of Computational and Graphical Statistics 31 (1), 176-189, 2022	10	2022
Non-Stationary Time Series Model for Station-Based Subway Ridership During COVID-19 Pandemic: Case Study of New York City B Moghimi, C Kamga, A Safikhani, S Mudigonda, P Vicuna Transportation Research Record 2677 (4), 463-477, 2023	9	2023
Structural break detection in high-dimensional non-stationary var models A Safikhani, A Shojaie arXiv preprint arXiv:1708.02736, 2017	8	2017

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