| Battle of the attack detection algorithms: Disclosing cyber attacks on water distribution networks R Taormina, S Galelli, NO Tippenhauer, E Salomons, A Ostfeld, ... Journal of Water Resources Planning and Management 144 (8), 04018048, 2018 | 183 | 2018 |
| Water distribution systems analysis symposium–battle of the attack detection algorithms (batadal) M Aghashahi, R Sundararajan, M Pourahmadi, MK Banks World Environmental and Water Resources Congress 2017, 101-108, 2017 | 22 | 2017 |
| Reducing brain signal noise in the prediction of economic choices: A case study in neuroeconomics RR Sundararajan, MA Palma, M Pourahmadi Frontiers in neuroscience 11, 296534, 2017 | 20 | 2017 |
| Nonparametric change point detection in multivariate piecewise stationary time series RR Sundararajan, M Pourahmadi Journal of Nonparametric Statistics 30 (4), 926-956, 2018 | 17 | 2018 |
| Stationary subspace analysis of nonstationary processes RR Sundararajan, M Pourahmadi Journal of Time Series Analysis 39 (3), 338-355, 2018 | 13 | 2018 |
| Principal component analysis using frequency components of multivariate time series RR Sundararajan Computational statistics & data analysis 157, 107164, 2021 | 8 | 2021 |
| Stationary subspace analysis of nonstationary covariance processes: eigenstructure description and testing RR Sundararajan, V Pipiras, M Pourahmadi Bernoulli 27 (1), 381-418, 2021 | 5 | 2021 |
| Student-t Stochastic Volatility Model With Composite Likelihood EM-Algorithm RR Sundararajan, W Barreto-Souza Journal of Time Series Analysis, 2022 | 4 | 2022 |
| Change point detection-based simulation of nonstationary sub-hourly wind time series S Ariyarathne, H Gangammanavar, RR Sundararajan Applied Energy 310, 2022 | 4 | 2022 |
| Modeling spectral properties in stationary processes of varying dimensions with applications to brain local field potential signals RR Sundararajan, R Frostig, H Ombao Entropy 22 (12), 1375, 2020 | 4 | 2020 |
| Cotrending: testing for common deterministic trends in varying means model M Düker, V Pipiras, R Sundararajan Journal of Multivariate Analysis 187, 2022 | 2 | 2022 |
| Factor modeling of multivariate time series: A frequency components approach RR Sundararajan Journal of Multivariate Analysis, 2023 | 1 | 2023 |
| Supplementary Material:“Stationary subspace analysis of nonstationary covariance processes: eigenstructure description and testing” R Sundararajan, V Pipiras, M Pourahmadi | 1 | 2019 |
| Determining economic factors for sex trafficking in the United States using count time series regression Y Jang, RR Sundararajan, W Barreto-Souza, E Wheaton-Paramo Empirical Economics, 2024 | | 2024 |
| A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference Y Jang, RR Sundararajan, W Barreto-Souza Statistics and Computing 34 (1), 2024 | | 2024 |
| Frequency Band Analysis of Nonstationary Multivariate Time Series RR Sundararajan, SA Bruce arXiv preprint arXiv:2301.03664, 2023 | | 2023 |
| tambstat/student_t_SV: Student-t stochastic volatility model RR Sundararajan, W Barreto-Souza Github, 2021 | | 2021 |
| Topics in Nonstationary Time Series Analysis RR Sundararajan | | 2018 |
Mohsen PourahmadiProfessor of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
