Richard Sowers
Richard Sowers
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Cited by
Cited by
Large deviations for a reaction-diffusion equation with non-Gaussian perturbations
RB Sowers
The Annals of Probability, 504-537, 1992
Random travelling waves for the KPP equation with noise
C Mueller, RB Sowers
Journal of Functional Analysis 128 (2), 439-498, 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
Default clustering in large portfolios: Typical events
K Giesecke, K Spiliopoulos, RB Sowers
Large portfolio asymptotics for loss from default
K Giesecke, K Spiliopoulos, RB Sowers, JA Sirignano
Mathematical Finance 25 (1), 77-114, 2015
Multidimensional reaction-diffusion equations with white noise boundary perturbations
RB Sowers
The Annals of Probability, 2071-2121, 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
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
Blowup for the heat equation with a noise term
C Mueller, R Sowers
Probability theory and related fields 97 (3), 287-320, 1993
Pinching and twisting Markov processes
SN Evans, RB Sowers
The Annals of Probability 31 (1), 486-527, 2003
Dimensional reduction in nonlinear filtering
JH Park, RB Sowers, NS Namachchivaya
Nonlinearity 23 (2), 305, 2010
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
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
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
Rigorous stochastic averaging at a center with additive noise
N Sri Namachchivaya, RB Sowers
Meccanica 37, 85-114, 2002
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
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
Unified approach for noisy nonlinear Mathieu-type systems
NS Namachchivaya, RB Sowers
Stochastics and Dynamics 1 (03), 405-450, 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
Default clustering in large pools: Large deviations
K Spiliopoulos, RB Sowers
SIAM Journal on Financial Mathematics 6 (1), 86-116, 2015
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