| Large deviations for a reaction-diffusion equation with non-Gaussian perturbations RB Sowers The Annals of Probability, 504-537, 1992 | 196 | 1992 |
| Random travelling waves for the KPP equation with noise C Mueller, RB Sowers Journal of Functional Analysis 128 (2), 439-498, 1995 | 106 | 1995 |
| A comparison of homogenization and large deviations, with applications to wavefront propagation MI Freidlin, RB Sowers Stochastic processes and their applications 82 (1), 23-52, 1999 | 89 | 1999 |
| Default clustering in large portfolios: Typical events K Giesecke, K Spiliopoulos, RB Sowers | 87 | 2013 |
| Multidimensional reaction-diffusion equations with white noise boundary perturbations RB Sowers The Annals of Probability, 2071-2121, 1994 | 84 | 1994 |
| Large deviations for the invariant measure of a reaction-diffusion equation with non-Gaussian perturbations R Sowers Probability Theory and Related Fields 92, 393-421, 1992 | 84 | 1992 |
| Large portfolio asymptotics for loss from default K Giesecke, K Spiliopoulos, RB Sowers, JA Sirignano Mathematical Finance 25 (1), 77-114, 2015 | 82 | 2015 |
| Multiple model particle filter for traffic estimation and incident detection R Wang, DB Work, R Sowers IEEE Transactions on Intelligent Transportation Systems 17 (12), 3461-3470, 2016 | 78 | 2016 |
| Blowup for the heat equation with a noise term C Mueller, R Sowers Probability theory and related fields 97 (3), 287-320, 1993 | 58 | 1993 |
| Pinching and twisting Markov processes SN Evans, RB Sowers The Annals of Probability 31 (1), 486-527, 2003 | 37 | 2003 |
| A vision-based framework for predicting multiple sclerosis and Parkinson's disease gait dysfunctions—A deep learning approach R Kaur, RW Motl, R Sowers, ME Hernandez IEEE Journal of Biomedical and Health Informatics 27 (1), 190-201, 2022 | 36 | 2022 |
| Dimensional reduction in nonlinear filtering JH Park, RB Sowers, NS Namachchivaya Nonlinearity 23 (2), 305, 2010 | 36 | 2010 |
| Predicting multiple sclerosis from gait dynamics using an instrumented treadmill: a machine learning approach R Kaur, Z Chen, R Motl, ME Hernandez, R Sowers IEEE Transactions on Biomedical Engineering 68 (9), 2666-2677, 2020 | 34 | 2020 |
| Discrete-time filtering for linear systems with non-Gaussian initial conditions: asymptotic behavior of the difference between the MMSE and LMSE estimates RB Sowers, AM Makowski IEEE transactions on automatic control 37 (1), 114-120, 1992 | 31 | 1992 |
| Non-standard reduction of noisy Duffing—van der Pol equation N Sri Namachchivaya, RB Sowers, L Vedula Dynamical Systems: An International Journal 16 (3), 223-245, 2001 | 30 | 2001 |
| Stochastic Partial Differential Equations and Their Applications E Pardoux, S Peng, BL Rozovskii, RB Sowers Lecture Notes in Control and Inform. Sci 176, 200-217, 1992 | 30 | 1992 |
| Rigorous stochastic averaging at a center with additive noise N Sri Namachchivaya, RB Sowers Meccanica 37, 85-114, 2002 | 29 | 2002 |
| Unified approach for noisy nonlinear Mathieu-type systems NS Namachchivaya, RB Sowers Stochastics and Dynamics 1 (03), 405-450, 2001 | 28 | 2001 |
| Stochastic averaging with a flattened Hamiltonian: a Markov process on a stratified space (a whiskered sphere) R Sowers Transactions of the American Mathematical Society 354 (3), 853-900, 2002 | 24 | 2002 |
| Machine learning and price-based load scheduling for an optimal IoT control in the smart and frugal home R Kaur, C Schaye, K Thompson, DC Yee, R Zilz, RS Sreenivas, ... Energy and AI 3, 100042, 2021 | 21 | 2021 |
Manuel HernandezTeaching/Research Associate Professor, BMTS, KCH, UIUCVerified email at illinois.edu
