| Personalised virtual brain models in epilepsy V Jirsa, H Wang, P Triebkorn, M Hashemi, J Jha, J Gonzalez-Martinez, ... The Lancet Neurology 22 (5), 443-454, 2023 | 35 | 2023 |
| Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy HE Wang, M Woodman, P Triebkorn, JD Lemarechal, J Jha, B Dollomaja, ... Science Translational Medicine 15 (680), eabp8982, 2023 | 31 | 2023 |
| Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators M Hashemi, AN Vattikonda, J Jha, V Sip, MM Woodman, F Bartolomei, ... Neural Networks 163, 178-194, 2023 | 11 | 2023 |
| Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo J Jha, M Hashemi, AN Vattikonda, H Wang, V Jirsa Machine Learning: Science and Technology 3 (3), 035016, 2022 | 10 | 2022 |
| Multiple Circular-circular Regression J Jha, A Biswas Statistical Modelling 17 (3), 142-171, 2017 | 10 | 2017 |
| Modelling circular random variables with a spike at zero A Biswas, J Jha, S Dutta Statistics & Probability Letters 109, 194-201, 2016 | 8 | 2016 |
| Circular‐circular regression model with a spike at zero J Jha, A Biswas Statistics in Medicine 37 (1), 71-81, 2018 | 7 | 2018 |
| Simulation-based inference for whole-brain network modeling of epilepsy using deep neural density estimators M Hashemi, AN Vattikonda, J Jha, V Sip, MM Woodman, F Bartolomei, ... medRxiv, 2022.06. 02.22275860, 2022 | 6 | 2022 |
| Best approach direction for spherical random variables J Jha Canadian Journal of Statistics 50 (3), 972-991, 2022 | 5 | 2022 |
| Virtual Epileptic Patient (VEP): Data-driven probabilistic personalized brain modeling in drug-resistant epilepsy HE Wang, M Woodman, P Triebkorn, JD Lemarechal, J Jha, B Dollomaja, ... medRxiv, 2022.01. 19.22269404, 2022 | 4 | 2022 |
| Distribution and time‐series modelling of ordinal circular data J Jha, A Biswas Environmetrics 29 (2), e2490, 2018 | 2 | 2018 |
| Trimmed estimator for circular–circular regression: breakdown properties and an exact algorithm for computation J Jha, A Biswas, TC Cheng Statistics 56 (2), 375-395, 2022 | 1* | 2022 |
| Orientation relationship in finite dimensional space J Jha, A Biswas Scandinavian Journal of Statistics 47 (3), 1011-1034, 2020 | 1 | 2020 |
| Modeling and forecasting of confirmed and recovered cases of COVID-19 in India A Gautam, J Jha, AK Singh International Journal of Academic Medicine 6 (2), 83-90, 2020 | 1 | 2020 |
| Regression Models for Directional Variables JJA Biswas Directional Statistics for Innovative Applications 1, 333-348, 2022 | | 2022 |
| Model inversion techniques for seizure spread in individual brain networks V Sip, V Jirsa, M Hashemi, A Vattikonda, J Jha JOURNAL OF COMPUTATIONAL NEUROSCIENCE 49 (SUPPL 1), S95-S95, 2021 | | 2021 |
| Two-stage circular-circular regression with zero inflation: Application to medical sciences J Jha, P Bhuyan The Annals of Applied Statistics 15 (3), 1343-1365, 2021 | | 2021 |
| Analysis and visualization of the data from the cities of India during Covid-19 pandemic V Kumar, A Sathe, NS Upadhye, J Jha | | |
| Robust estimation of directional mean J Jha, A Biswas | | |
