| 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 | 71 | 2022 |
| 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, 2018 | 66 | 2018 |
| 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 | 47 | 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 | 33 | 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 | 26 | 2019 |
| 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 |
| 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 | 21 | 2020 |
| 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 | 20 | 2018 |
| 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 | 16 | 2018 |
| 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 | 14 | 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 | 11 | 2020 |
| 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 | 10 | 2017 |
| A unified framework for change point detection in high-dimensional linear models Y Bai, A Safikhani Statistica Sinica, 2022 | 8 | 2022 |
| Machine learning application to spatio-temporal modeling of urban growth Y Kim, A Safikhani, E Tepe Computers, Environment and Urban Systems 94, 101801, 2022 | 8 | 2022 |
| Structural break detection in high-dimensional non-stationary var models A Safikhani, A Shojaie arXiv preprint arXiv:1708.02736, 2017 | 8 | 2017 |
| Saw palmetto for symptom management during radiation therapy for prostate cancer GK Wyatt, A Sikorskii, A Safikhani, KT McVary, J Herman Journal of Pain and Symptom Management 51 (6), 1046-1054, 2016 | 8 | 2016 |
| Spatio-temporal modeling of parcel-level land-use changes using machine learning methods E Tepe, A Safikhani Sustainable Cities and Society 90, 104390, 2023 | 7 | 2023 |
| 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| Theoretical analysis of deep neural networks for temporally dependent observations M Ma, A Safikhani Advances in Neural Information Processing Systems 35, 37324-37334, 2022 | 5 | 2022 |
camille kamgaThe City College of New YorkVerified email at utrc2.org
