| A Bayesian approach for estimating dynamic functional network connectivity in fMRI data R Warnick, M Guindani, E Erhardt, E Allen, V Calhoun, M Vannucci Journal of the American Statistical Association 113 (521), 134-151, 2018 | 69 | 2018 |
| Got noisy impedance? Try this J Zhang, R Biswas, D Kumar, M Walker, P Paramo, K Wolf, A Yusifov, ... SEG International Exposition and Annual Meeting, D011S009R001, 2022 | 3 | 2022 |
| Bayesian AVA Elastic Seismic Inversion using Stein Variational Gradient Descent (SVGD) R Biswas, M Walker, J Zhang, P Paramo, K Wolf, S Gerth, J Winterbourne, ... 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | 2 | 2023 |
| Gaussian mixture models as priors in a gradient-based variational algorithm for Bayesian elastic inversion M Walker, P Paramo, K Wolf, J Zhang, R Biswas, C Decalf, S Gerth, ... 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | 2 | 2023 |
| A predictor-informed multi-subject Bayesian approach for dynamic functional connectivity J Lee, S Hussain, R Warnick, M Vannucci, I Menchaca, AR Seitz, X Hu, ... arXiv preprint arXiv:2210.01281, 2022 | 1 | 2022 |
| Method and Apparatus for Seismic Data Inversion Y Zheng, M Walker, R Biswas, J Zhang, R Warnick, PP DE LA BARRERA, ... US Patent App. 18/156,515, 2023 | | 2023 |
| Using mixture density networks for uncertainty and prediction in seismic reservoir characterization C Rosenbaum, R Warnick, A Yusifov, R Biswas, A Roy SEG International Exposition and Annual Meeting, D011S091R001, 2022 | | 2022 |
| Bayesian Joint Graphical Modeling Approaches for Covariance and Dynamic Functional Connectivity Analysis from Neuro-Imaging Data R Warnick Rice University, 2018 | | 2018 |
Michele GuindaniDepartment of Biostatistics, University of California, Los AngelesVerified email at ucla.edu
