Abolfazl Safikhani

发表

Spatio-temporal modeling of parcel-level land-use changes using machine learning methods

A. Safikhani, Emre Tepe, Abolfazl Safikhani, 2023, Sustainable Cities and Society.

Penalized estimation of threshold auto-regressive models with many components and thresholds.

A. Shojaie, A. Tank, A. Safikhani, 2022, Electronic journal of statistics.

Non-stationary Spatio-Temporal Modeling of COVID-19 Progression in The U.S.

Y. Bai, A. Safikhani, G. Michailidis, 2020, medRxiv.

Spatio-temporal modeling of yellow taxi demands in New York City using generalized STAR models

C. Kamga, S. Mudigonda, Bahman Moghimi, 2017, International Journal of Forecasting.

Cycle-Length Prediction in Actuated Traffic-Signal Control Using ARIMA Model

Wei Hao, Camille Kamga, Bahman Moghimi, 2018, J. Comput. Civ. Eng..

Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S.

George Michailidis, Abolfazl Safikhani, Yue Bai, 2021, IEEE Journal of Selected Topics in Signal Processing.

Spectral conditions for equivalence of Gaussian random fields with stationary increments

Yimin Xiao, A. Safikhani, Abolfazl Safikhani, 2018, Electronic Journal of Probability.

Covariance tapering for anisotropic nonsta-tionary Gaussian random fields with appli-cation to large scale spatial data sets

Yimin Xiao, A. Safikhani, Abolfazl Safikhani, 2014 .

A Unified Framework for Fast Large-Scale Portfolio Optimization

A. Safikhani, Pawel Polak, Weichu Deng, 2023, 2303.12751.

Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models

Ali Shojaie, Abolfazl Safikhani, A. Shojaie, 2017, Journal of the American Statistical Association.

On uncertainty estimation in functional linear mixed models

T. Maiti, Pingshou Zhong, A. Safikhani, 2020, Canadian Journal of Statistics.

Uncertainty Estimation in Functional Linear Models

T. Maiti, Pingshou Zhong, A. Safikhani, 2018, 1801.09338.

Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling

C. Kamga, A. Safikhani, Bahman Moghimi, 2019, J. Comput. Civ. Eng..

Taxi and Mobility: Modeling Taxi Demand Using ARMA and Linear Regression

Camille Kamga, Arpita Shah, Sabiheh Sadat Faghih, 2020, EUSPN/ICTH.

Investigation on Range Anxiety and Safety Buffer of Battery Electric Vehicle Drivers

Wei Hao, Quan Yuan, Haotian Su, 2018, Journal of Advanced Transportation.

Theoretical analysis of deep neural networks for temporally dependent observations

Mingliang Ma, A. Safikhani, Abolfazl Safikhani, 2022, NeurIPS.

Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models

George Michailidis, Abolfazl Safikhani, Yue Bai, 2021, J. Comput. Graph. Stat..

Inference on the change point under a high dimensional sparse mean shift

Venkata K. Jandhyala, Stergios B. Fotopoulos, Abhishek Kaul, 2021 .

Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models

Jiaqi Ma, Camille Kamga, Bahman Moghimi, 2019, IEEE Transactions on Intelligent Transportation Systems.

Short-Term Prediction of Signal Cycle in Actuated-Controlled Corridor Using Sparse Time Series Models

C. Kamga, Wei Hao, A. Safikhani, 2017, 1712.01995.

Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models

George Michailidis, Peiliang Bai, Abolfazl Safikhani, 2020, IEEE Transactions on Signal Processing.

A Fast Detection Method of Break Points in Effective Connectivity Networks

George Michailidis, Abolfazl Safikhani, Peiliang Bai, 2021, IEEE Transactions on Medical Imaging.

A Functional Coefficients Network Autoregressive Model

G. Michailidis, Abolfazl Safikhani, Hang Yin, 2024, 2402.07373.

Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm

A. Shojaie, A. Safikhani, Xiudi Li, 2022, 2210.07456.

A Unified Framework for Fast Large-Scale Portfolio Optimization

Pawel Polak, Weichu Deng, Ronakdilip Shah, 2023, Data Science in Science.

A Unified Framework for Change Point Detection in High-Dimensional Linear Models

A. Safikhani, Yue Bai, Yue Bai, 2022, Statistica Sinica.

Inference on the change point in high dimensional time series models via plug in least squares

S. Fotopoulos, V. Jandhyala, A. Kaul, 2020, 2007.01888.

Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models

George Michailidis, Abolfazl Safikhani, Peiliang Bai, 2021, Journal of the American Statistical Association.

Multiple Change Point Detection in Structured VAR Models: the VARDetect R Package

George Michailidis, Abolfazl Safikhani, Peiliang Bai, 2021, 2105.11007.

Structural Break Detection in High-Dimensional Non-Stationary VAR models

A. Shojaie, A. Safikhani, Abolfazl Safikhani, 2017, 1708.02736.

A General Modeling Framework for Network Autoregressive Processes

George Michailidis, Abolfazl Safikhani, Hang Yin, 2021, Technometrics.

Saw Palmetto for Symptom Management During Radiation Therapy for Prostate Cancer.

K. McVary, A. Sikorskii, A. Safikhani, 2016, Journal of pain and symptom management.