Error analysis of tau-leap simulation methods DF Anderson, A Ganguly, TG Kurtz The Annals of Applied Probability 21 (6), 2226-2262, 2011 | 124 | 2011 |
Moderate deviation principles for stochastic differential equations with jumps A Budhiraja, P Dupuis, A Ganguly The Annals of Probability 44 (3), 1723-1775, 2016 | 72 | 2016 |
Jump-diffusion approximation of stochastic reaction dynamics: error bounds and algorithms A Ganguly, D Altintan, H Koeppl Multiscale Modeling & Simulation 13 (4), 1390-1419, 2015 | 53 | 2015 |
Hybrid spatial Gillespie and particle tracking simulation M Klann, A Ganguly, H Koeppl Bioinformatics 28 (18), i549-i555, 2012 | 45 | 2012 |
Accounting for extrinsic variability in the estimation of stochastic rate constants H Koeppl, C Zechner, A Ganguly, S Pelet, M Peter International Journal of Robust and Nonlinear Control 22 (10), 1103-1119, 2012 | 38 | 2012 |
Large deviations for small noise diffusions in a fast Markovian environment A Budhiraja, P Dupuis, A Ganguly Electronic Journal of Probability 23, 1-33, 2018 | 35 | 2018 |
Wong-Zakai type convergence in infinite dimensions A Ganguly Electronic Journal of Probability 18, 2013 | 23 | 2013 |
Markov chain aggregation and its applications to combinatorial reaction networks A Ganguly, T Petrov, H Koeppl Journal of mathematical biology 69 (3), 767-797, 2014 | 22 | 2014 |
A variational approach to path estimation and parameter inference of hidden diffusion processes T Sutter, A Ganguly, H Koeppl J. Mach. Learn. Res 17, 2016 | 20 | 2016 |
Deterministic characterization of phase noise in biomolecular oscillators H Koeppl, M Hafner, A Ganguly, A Mehrotra Physical biology 8 (5), 055008, 2011 | 16 | 2011 |
Inhomogeneous functionals and approximations of invariant distributions of ergodic diffusions: Central limit theorem and moderate deviation asymptotics A Ganguly, P Sundar Stochastic Processes and their Applications 133, 74-110, 2021 | 12 | 2021 |
Model decomposition and stochastic fragments T Petrov, A Ganguly, H Koeppl Electronic Notes in Theoretical Computer Science 284, 105-124, 2012 | 7 | 2012 |
Large deviation principle for stochastic integrals and stochastic differential equations driven by infinite-dimensional semimartingales A Ganguly Stochastic Processes and Their Applications 128 (7), 2179-2227, 2018 | 5 | 2018 |
Efficient simulation of multiscale reaction networks: A multilevel partitioning approach D Altintan, A Ganguly, H Koeppl American Control Conference (ACC), 2016, 6073-6078, 2016 | 4 | 2016 |
Error bound and simulation algorithm for piecewise deterministic approximations of stochastic reaction systems A Ganguly, D Altintan, H Koeppl 2015 American Control Conference (ACC), 787-792, 2015 | 4 | 2015 |
A Large-Scale network with moving servers A Ganguly, K Ramanan, P Robert, W Sun ACM SIGMETRICS Performance Evaluation Review 45 (2), 42-44, 2017 | 3 | 2017 |
Improved reaction scheme for spatial stochastic simulations with single molecule detail M Klann, A Ganguly, H Koeppl Proceedings of the 8th International Workshop on Computational Systems …, 2011 | 3 | 2011 |
Optimal Learning via Moderate Deviations Theory A Ganguly, T Sutter arXiv preprint arXiv:2305.14496, 2023 | 1 | 2023 |
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations A Ganguly, R Mitra, J Zhou Journal of Machine Learning Research 24 (159), 1-39, 2023 | 1 | 2023 |
Moment stability of stochastic processes with applications to control systems A Ganguly, D Chatterjee Mathematical Control and Related Fields, 2023 | | 2023 |